WEBVTT

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Behind the information economy as a ride. The world is teeming with innovation as

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new business models reinvenist. Inside analysisation
and insight about how to make the most

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of this exciting new era. Learn
more at side Analysis dot Inside analysis dot

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com. And now here's your host, Eric, Keep welcome to each other,

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help chosen to teach. It's all
right, lit and gentleman and low

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and welcome back. Once again it's
the only coast to coast radio show all

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about the information economy. It's time
for inside Analysis. Your truly is here

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with a very special guest. We're
going to talk about securities, a problem

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that never goes away. It never
will go away. It's always going to

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be a challenge. It's changing by
the day. We're talking to. Our

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Pergosian is a company called bright If
it's b R I T I V E.

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And alright, I'm gonna tell you
security. It's one of these issues

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that only a handful of people at
the company ever really care about it.

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And my British business partner one time
cracked joke. He said, there's only

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one person who has about security and
his name is scape Goat, meaning the

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person who was in charge of security
just gets blamed when something goes wrong and

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they fire that person and get another
person. But usually they do the same

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kind of stuff. But one of
the more clever comments I've heard about security

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of this is very, very true. I'm sure you'll agree with this,

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is that security is not a thing. It's not one object. It's not

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a technology, it's not a process. It's a whole amalgam of education,

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of protocols, of technologies, of
observability, and just paying attention. You

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have to pay attention all the time. But this stuff, and I can

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tell you, folks, in the
last four or five months, I've had

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my corporate debit card hacked twice,
which is annoying. Once is okay,

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because that way I can see and
remember all the stupid things I signed up

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for. You get all the emails
that, oh, your credit card was

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declined, like, yeah, I
know, because it got hacked and I

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didn't when they want to go back
to you guys. And luckily the legislators

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around the country here in America at
least, have done some good work in

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not allowing these organizations to keep hammering
you with late fees after it goes away.

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These days, you just don't get
your service anymore it goes away.

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But nonetheless, the security issue is
so important it's never gonna not important,

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So you always need this cocktail of
technologies and processes. And then even still

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you're going to get hacked sooner or
later. So what's your path to remediation?

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There are lots of things to consider
here, but a few choice words

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or tell us a bit about yourself
and Bright and how you get into the

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space and what you folks are doing. Yeah, thank ar, thanks for

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having me here. Just about twenty
years ago, and back then it was

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more about the IT security as they
call it. It's certainly involved quite a

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you know, arguably even a board
level issue that you know that we see

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today. But you know, hacks
or attacks have gone from just a network

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breach to steal some data to for
one, cyber warfare or cyber crime,

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and ransomware is one that is so
lucrative these days for the criminals and so

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disruptive for many companies in the industries. Right, So it's a very different

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world today that we live in.
My past experience before this company, before

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Brighter, I've been in a space
mostly from this industry, in that industry,

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and I started also another company about
ten years ago in identity and access

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Spanish mansers space, but eventually which
led to you know, uh in specifically

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focusing on a problem in the clouds, you know space or cloud public cloud

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technologies and building a product to the
market that helps reduce the suiting risks and

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vulnerabilities that are preventing businesses from adopting
and expanding their public clouds consumption or the

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clouds adoption. Right, well,
let's let's talk about how you do that,

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because there are lots and lots of
ways, and I do like that

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you're focused on identity management because let's
face it, if you're trying to log

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into a system, the system is
trying to understand, okay, are you

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the person that you say you are? And historically that's been largely done by

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passwords, which of course is a
pain because you have to remember the passwords

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and for everything, and that of
course is putting yourself in jeopardy because then

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folks can hack in and do all
kinds of stuff. And you know,

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it was my business partner, doctor
Robin Blore, who years ago taught me

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that this whole crime network is not
just individuals. In fact, the whole

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narrative around the guy in the hoodie
being the one who's going in and hacking

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your systems. It's it's not a
guy in a hoodie. Sometimes it is,

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but usually there's this whole industry involved. There are people who specialize in

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getting accets or people who specialize in
exploiting that access, and it will just

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kind of sell their access to other
players. And then you have cases like

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the Colonial pipeline, which some folks
may recall a while back before the Russian

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invasion of Ukraine took down the East
coast's ability to get gas to gas stations.

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And you know, when I saw
that, I thought to myself,

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this is an active war. This
is not just some ransomware. And the

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government has never come out and said, but I believe it was an active

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war. And it goes to show
you how vulnerable if you did the math

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and fig eyes, we can shut
down distribution on the East Coast and that

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will be a very significant inconvenience on
in fact, put people in jeopardy,

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right, ambulances, things that can't
get gasoline. That's a pretty big problem.

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So it's not just individuals. I
mean to your boson state sponsored addors,

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and I think the folks at Google
and Facebook and Yahoo and these other

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big organizations certainly worked very hard to
stop all that. But maybe tell us

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about what do you to enable identity
manage that you can then sort of provide

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to all these cloud providers. That's
that's very very good background, just kind

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of how you've illustrated like the state
of the world really and for us,

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why identity was so important and why
we decided to really invest in building in

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technology. There's a very important thing
to talk about here. With the clouds

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technologies and adoption of public Cloud,
it was a huge change in paradigm shifts

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really in the in the world of
you know, security and identity. Specifically

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back in when everything all the critical
know it assets were in the data center,

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the security monitor perimeter aside from the
walls, of course, but there

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was a perimeter security network, you
know, firewalls, and and identities existed

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inside the firewall. With public cloud, that was a complete pop Identity essentially

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became the first and last line of
defense when comes through durin applications front.

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That's why identity for us became the
first and biggest security elements to protect from.

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Like examples you gave, of course, asual GCP pretty robust security controls

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and identity models. The challenges for
any organization that operates across different technologies and

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they also operate on top of the
of the cloud providers infrastructure, they have

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to build them security and control and
security model that goes across the different providers,

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and they're not uniform. AZUAL security
is very different from GDCP, especially

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when it comes to how they pretended
that. That's why right of came to

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market with a solution that works across
the providers. Another very important thing that

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we did, and this was something
that we saw as we're entering them market,

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saw a huge issue with what we
cause overprivileged access. So a lot

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of times organizations with intention products to
market to support their businesses and growth,

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we really had to do from security
standpoint in a way that we're not ideal,

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like giving a lot of access to
users assuming they're going to need that,

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or they may be needed at some
point but no longer needed later.

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That created this exposure risk, exposure
when access existed but nobody needed it.

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Well. Of course, attackers love
that situation. That's why you started seeing

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breach after Breach in Capital one was
one of the earliest like clouds privileged access

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breaches that we came to know about, and that speaks to one problem that

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we noticed early on how the current
access or the traditional access model did didn't

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really translate well to cloud. What
I mean by that is when you give

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somebody access with assumption they needed twenty
four by seven, that access always sits

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there and the only thing that prevents
somebody else to gain access is a login

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name and password. It's a terrible
security and it's a very vulnerable security to

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protect. So we decided to change
that with bred It. We really kind

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of invented the newer and better way
to do it to eliminate everything when the

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user doesn't need that access. So
when it comes to human users, kine

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of us can sit in front of
a computer twenty four by seven by three

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sixty five, right, we can
do our job at certain hours, but

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after that we don't need that access. So what bright it does is automatically

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grants that access when the user needs
but also removes automatically when that access all

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over needed until the next time the
user needs it. That's a massive reduction

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of the risk exposure and then attack
surface. Yeah, well you would mentioned

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something that's interesting. You talked about
the models, the security models that these

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different providers have, and I know
for sure that one of the things that

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you could do to better secure your
environment is to identify where someone logs in,

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what office are they in, are
they in a different office than they

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normally are in, and that would
be in a profile around the user.

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So the identity management of Chuck,
let's say, is that he dials in

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from Pittsburgh, Pennsylvania. That's where
he works. And if he goes traveling

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somewhere, you know, wouldn't it
be great to know that he's traveling.

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And of course these banks have systems
they don't always work very well, but

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they say, hey, are you
going to be traveling and you say,

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yes, I'll be traveling to Austria
next week. So if my credit card

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comes across in Austria, it's me, So don't block me out when I'm

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trying to log into my systems from
Austria. Well that's a nice way to

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do it, but it's expensive,
it's a bit time intense. But these

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days it seems to me it should
be relatively easy if you have the right

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technology in place to identify the pattern
of what is normal, and the normal

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pattern for Chuck would be he logs
in at nine am, he logs out

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at five pm kind of deal.
And if he logs in at two o'clock

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in the morning, oh well,
maybe you kick in an extra security loop

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to say, hmm, are you
really you? And of course people know

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these captures. The captors drive me
completely bonkers. I hate it, especially

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on my phone, because I'm like, I just give up. I'm like,

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I won't go in. I don't
care, I'm not going to go

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Is this a bike? Is this
a bike? Is? Okay? It's

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very annoying. But the point I'm
making here is that you can build a

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profile around the user and then understand
who that person is, and when they're

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doing things like they normally do,
you still have security, but at least

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it's a lower level of security.
When they're doing things they're not normally doing,

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that's when you kick in a higher
level of security is out about right?

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That's harder to say, right,
And you're correct that technology today has

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come a long way and being able
to actually do that and do it with

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minimal disruption. To your point,
captures were invented in what twenty years ago?

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I think, uh, you know, to expand on that little bit,

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right, I think, yes,
there's a lot of opportunity to improve

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that both from security and end users
experience standpoint. So one of the things

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that we're doing along those lines,
when you look at a pretty significant a

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number of users pro pride or involves
cloud developers, develops engineers, it's one

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these folks just have to do a
lot of different things during the day,

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and there's definitely it's not a very
static, sort of a linear pattern of

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work, so they jump around a
lot of doing this here and something else

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there. What we do, what
we try to do is gather activity across

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you know, during the day,
across the environments that they were in and

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doing whatever or an engineer could do
with standing up a storage you know,

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or compute instance or whatnot. So
we can actually look at that data from

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the from the pattern standpoint over time
and say, you know, over let's

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say ninety days, the normal pattern
for this type of user has been X,

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Y, and Z. Why that's
important is because we could also detect

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when something goes completely in a different
direction one day, right, So that

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allows us to kick off alerts and
triggers to say something is not looking and

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feeling right, so the security teams
can quickly take a look and understand is

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it normal? Could they could be
a legitimate instance of that situation, but

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we'd rather verify that than let it
go right. So that helps us also

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enhance, you know, the model
of like what we should give to home

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because that also helps the data,
same data. Analys Analyzing the data helps

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us understand what next time, next
patch of users, what is the normal

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pattern of access they shouldn't so we
can make those grants very easily and get

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people what they need immediately. But
basically, if I understand it, you're

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I mean security has to sit in
between systems, right, So someone is

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on the outside, they're trying to
get in to a cloud environment that may

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have eight, ten, twelve,
twenty different applications. And you know,

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you made a good point about developers. I have developer friends and they tell

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me that the biggest pain in their
job is just logging back into the system.

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Logging back into that system. People
in the consumer world, now you

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have all these different protocols. Oh, it's got to be ten characters and

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a special character. It can't be
two characters side by side, like you

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know, two characters and row all
this these goofy sort of bespoke rules that

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may not have to come up with
different passwords. Then of course Google allows

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you to do that password management feature
in their system, and that's what I

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use. But of course as someone
hacks into that, now they've got access

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to all your stuff. I mean, these security issues. The sword cuts

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both ways, right, the old
adage every sword cuts both ways. I

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always thought about the key fop.
I'm like, oh, key fop,

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that's great, unless someone gets your
key fop and they can walk through the

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parking lot just going like this till
they find your car getting a drive away.

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So it's like some of these security
measures wind up being security risks essentially.

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How do you balance that out and
how do you sit in between?

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So when you actually deploy to a
particular client, you're sitting sort of in

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a layer outside of their environment.
But can you also get in to track

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what they're moving? Tell us about
that quickly. Yeah. Early in my

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career in the security space, somebody
said this and it really stuck in my

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head. The best security is invisible
security, so the end user can't see

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there. It's been very hard to
actually get get to that stage. But

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I think we're getting we're moving in
the right direction. We're not quite there.

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NASH supported. Welcome back to inside Analysis.

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00:20:40.799 --> 00:20:48.119
Here's your host, Eric Tavanaughture.
Okay, folks, back in front

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analysis or truly air Kavanami part forgoes
then of bright I br tibe. We're

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talking all about security, getting access
to systems, how annoying security can be,

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but how important it is because when
someone gets in, especially with ransomware,

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and they hold all your stuff hostage. Like I said, the Colonel

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pipeline shows you how much can be
held hostage. Major hospitals have been held

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hostage by these things, and that's
a real problem. But argue, we're

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talking a moment ago about how the
ideal security is invisible security, which you

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know under the covers can be very
powerful these days because you can test all

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kinds of things. Right where is
this person? What device is it?

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I mean to me, that's one
of the key characteristics, right, is

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like is this the device that the
person normally uses? I think that's why

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you see so much focused on mobile
devices these days. And there it is

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because there's a signature, there's an
IP addressed and there's the unique signature of

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that device. I'm using that device
and it's with me, it's a run

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that. Okay, that's probably good
a good person to grant access too.

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But tell us more about this invisible
serre and hydro. Yeah, so how

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will you approach this as certainly,
so instead of constantly being destructive and forcing

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the user to re authenticated or prove
to the system who they are, use

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data. We use some things that
we can gather without being you know,

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interfering with the user and their activity
in the system. That helps us be

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fairly confident that we're still assistant the
legitimate user. There's also systems that we

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gather the outside of right that we
gather that from. So like the authentication

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service provider, which could be anything
from Microsoft, Gator to Actor or whatnot,

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they do have data that that is
very valuable. We also gather some

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of our own this proof and validating
the user. Ultimately, though, I

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think there's definitely enough awareness already even
in the end user communities that security is

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very important. So if you are
going to if we are going to essentrally

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enforce certain security rules along the boy
of the process, that we do it

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in a way that they understand why
this is important, especially in communities like

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developers. Right A lot of very
sensitive infrastructure and data. So we do

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we do have some control in the
place that or when, the when,

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the time and the trigger is there
we need to enforce. So one of

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them would be to, let's say, have them re authenticate or step up

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authenticated as we call it, to
to prove that they are still us.

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Ultimately, the goal is to make
it at least job I would occur upon

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log and in other words, on
log and in other words, if someone's

287
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logged and already you know, usually
they're gonna be working. I suppose they

288
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could walk away and not log out
that kind of thing, and then someone

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could come up to their machine.
I mean, that does happen, But

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I'm just guessing that the vast majority
of breaches are at log in time,

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A fresh cold breach, Is that
right, cannily, I don't know what

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the stats are truly about that,
but that is definitely a very likely scenario.

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It's a good guess. Yeah,
it's it's you know, when what's

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the users inter session, right that
that's now an active you know session that

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attacker was able to you know,
used to be this type of attack called

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man in the middle. So if
that was at the scenario, then yeah,

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the legitimate user wouldn't even know somebody
else's piggyback attacks. Is the interactive

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user human users not even uh,
it's not even involved. For example,

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again, when it comes to cloud
technology, there's there's a lot that's already

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uh, you know, visible and
accessible to attackers who would love to just

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exploit that rather than trying to exploit
a user's session. Right, And that's

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where we also have again as an
industry, we're playing a catch up game

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here trying to protect these non interactive
you know, doors and access points into

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cloud data and cloud applications. So, for example, how Brider does that

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is we have this constant of non
human you know or synthetic or machine identity

306
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used the call it that we allow
the custom us to define any process,

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any technology that requires access to their
infrastructure and data to authenticate much like a

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human being and provide the validation that
who who they as as a non human

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identity of machine identity, who it
is and or functionality? What API,

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what service they can access before they
allow that? Right. So this again

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adds another component of security here that
instead of just assuming whoever's access an API

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that is legitimate, trust and verify. Yeah, I love the trust and

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00:25:32.400 --> 00:25:34.680
verify thing. And you pick up
a really good point about API access and

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just machine to machine conversations, right, which happen all the time constantly,

315
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and these APIs are hit twenty four
to seven. So is that a new

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00:25:44.559 --> 00:25:48.920
security threat or a relatively new security
threat of people mimicking machine behavior in order

317
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to get behind an API grabs some
information. Look back out, it looks

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normal, It looks like the normal
call it goes from, for example,

319
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back and forth. I mean,
those are the really precious connections to full

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trade, right, is when you're
going from one place to another. And

321
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I mean I remember, I think
the target breach came in through an HVAC

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system or something through an IoT system. So it's like, wow, it

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wasn't some user, it was the
machine to machine conversation that was cooptable.

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00:26:15.160 --> 00:26:18.640
You know. The album is again
legacy type of mindset and approaches or what

325
00:26:18.720 --> 00:26:25.079
I mean. For example, to
detect the user human user breach, typically

326
00:26:25.079 --> 00:26:30.640
security would review the human logging attempts. They wouldn't necessarily look at API logg

327
00:26:30.680 --> 00:26:34.960
in attempts, right, So it's
a fundamental issue. Is there enough visibility?

328
00:26:36.039 --> 00:26:40.599
Is there enough data? That's being
sort of you know, filtered and

329
00:26:41.480 --> 00:26:47.720
reviewed through security processes to detect all
possible access points. Arguably most organizations miss

330
00:26:47.799 --> 00:26:49.759
that, you know, miss something. That's that's why breaches keep happening,

331
00:26:51.039 --> 00:26:55.079
right Yeah, and that as we
suggest that can be all that's necessary to

332
00:26:55.119 --> 00:26:59.000
get into a system. What should
in terms of the API management stuff,

333
00:26:59.039 --> 00:27:00.400
how do you how do you solve
for that? I mean, does your

334
00:27:00.440 --> 00:27:04.880
technology have a sort of pattern recognition
too much normal behavior for a period of

335
00:27:04.920 --> 00:27:08.200
time and say okay, this looks
normal. Then once you define normal,

336
00:27:08.279 --> 00:27:12.359
you can define what is abnormal?
Is that kind of how your security technology

337
00:27:12.400 --> 00:27:18.359
works. I certainly don't want to
sound like we can do anything, and

338
00:27:18.759 --> 00:27:22.319
I think the uh, you know, the API type of use case is

339
00:27:22.519 --> 00:27:29.640
it's fair to say our approach has
been similar to the model where its security

340
00:27:29.960 --> 00:27:33.880
kind of more as a matter of
you know, a guard rate or two

341
00:27:34.079 --> 00:27:38.720
control upon time of that access.
Right. So like as I'm describing that

342
00:27:38.839 --> 00:27:44.359
that they you know and be sort
of one the white list before they re

343
00:27:44.480 --> 00:27:49.440
allow when it comes to it really
utterns for the non human interactive that I

344
00:27:49.440 --> 00:27:53.519
would say it's kind of more of
a next next stage problem. It's just

345
00:27:53.559 --> 00:28:00.359
because it's so much more complex and
tracking like the human activity and yeah,

346
00:28:00.440 --> 00:28:04.880
it's it's it's one of these one
of the most complex prostl Yeah, and

347
00:28:04.880 --> 00:28:07.799
well, so let's talk about the
multi cloud side of the equator. A

348
00:28:07.880 --> 00:28:11.079
useful bit of functionality, I can
tell you from a business perspective, because

349
00:28:11.160 --> 00:28:15.359
I don't want to have to care
about the difference between Azure and GCP and

350
00:28:15.440 --> 00:28:19.160
Amazon Web Services. You folks can
care about that, and you folks can

351
00:28:19.200 --> 00:28:25.079
care about adhering to their protocols,
which I'm guessing they update on some relatively

352
00:28:25.200 --> 00:28:27.880
frequent basis, so you have to
stay on top of how their protocols change.

353
00:28:29.079 --> 00:28:32.240
But of course with well again with
APIs, ideally you don't want to

354
00:28:32.240 --> 00:28:34.319
have to deprecate APIs, right,
they're APIs that you want them to stay

355
00:28:34.359 --> 00:28:37.000
the same such that everyone can use
it the same way they were using it.

356
00:28:37.359 --> 00:28:41.000
But in terms of these different cloud
environments, how do you tackle that?

357
00:28:41.079 --> 00:28:44.079
I mean, do you have sort
of a layer of abstraction that can

358
00:28:44.200 --> 00:28:47.640
say, Okay, this is for
Azure, so use this functionality, this

359
00:28:47.720 --> 00:28:49.839
is for GCP, use that functionality. How does that work? Yeah,

360
00:28:49.839 --> 00:28:53.079
that's a great point. Actually that's
not for any when you know, ongoing

361
00:28:53.119 --> 00:28:56.720
aspect of how do you maintain how
do you keep up with a very dynamic

362
00:28:56.759 --> 00:29:02.880
world of cloud technology and APIs so, so that's that's actually one of the

363
00:29:02.920 --> 00:29:07.519
inherent benefits of what right of offers
that we are we maintain that we are

364
00:29:07.680 --> 00:29:17.599
constantly monitoring and you know, detecting
changes and the key functionality that that right

365
00:29:17.640 --> 00:29:22.200
of itself relies on, I say
it's GCP or Azure or whatever functionality that

366
00:29:22.319 --> 00:29:26.519
our system depends on to function.
That's our job. That's what comes with

367
00:29:26.599 --> 00:29:32.119
the value of righting that the customers
don't don't have to you know, worry

368
00:29:32.119 --> 00:29:36.359
about that that because we don't part
of our limited our ip of how we

369
00:29:36.440 --> 00:29:41.000
do that, so we we never
we never becomes or the point of destruction

370
00:29:41.119 --> 00:29:45.880
for the customer right right now,
that's important. So basically you are solving

371
00:29:45.880 --> 00:29:51.200
for the security challenge across these cloud
environments for companies that have people using for

372
00:29:51.359 --> 00:29:55.079
the correct to all the three major
ones, is that right actually do more

373
00:29:55.119 --> 00:29:59.559
than that we do for major ones
including Oracle Cloud infrastructure. Okay, and

374
00:30:00.079 --> 00:30:04.640
there's just a couple of dozen non
infrastructure clouds likes of Snowflakes service now opposite

375
00:30:04.720 --> 00:30:08.519
sixty five it's one. Mmm,
that's a full time job. Man.

376
00:30:08.519 --> 00:30:15.119
How big is your company? How
many people? We are? Fifty?

377
00:30:15.880 --> 00:30:21.160
So for fifty full tigers. But
yeah, we're growing fast, and uh

378
00:30:21.440 --> 00:30:26.000
it is what I'm in more than
that. What percentage are actual developers and

379
00:30:26.119 --> 00:30:30.160
engineers? Like, out of fifty
people, what percentage are people who are

380
00:30:30.240 --> 00:30:34.839
coders or engineers or people of that
technical nature? Eight eight percent? Yeah,

381
00:30:34.839 --> 00:30:37.920
that's that sounds about right, because
you can't you can't stay on top

382
00:30:37.920 --> 00:30:41.839
of everything. I mean, these
each one of these environments keeps changing.

383
00:30:41.880 --> 00:30:44.440
They have updates all the time,
and you have to stay on top of

384
00:30:44.480 --> 00:30:48.319
that stuff. Uh it's and it's
changing rapidly these days. It seems to

385
00:30:48.319 --> 00:30:51.039
me, how concerned we got a
couple minutes luf there, How concerned are

386
00:30:51.079 --> 00:30:56.039
you about quantum computing and quantum going
mainstream? Which IBM, I guess indicating

387
00:30:56.279 --> 00:31:00.960
the concerns I've heard is that with
quantum computing, all traditional encryption goes out

388
00:31:02.000 --> 00:31:07.039
the window and wind updating myself.
Well, there's still are tactics you can

389
00:31:07.079 --> 00:31:10.680
put in place who rebuff those sorts
of attacks, like just to you know,

390
00:31:10.759 --> 00:31:14.559
throttle those things. But overall,
it does seem to be a very

391
00:31:14.599 --> 00:31:17.839
significant risk that's coming down the pike. What are your thoughts about quantum and

392
00:31:18.039 --> 00:31:21.519
what we do about it. I'll
be very great. So I think it's

393
00:31:21.640 --> 00:31:25.920
revolutionary for sure, right, and
it's going to definitely have deep impact on

394
00:31:26.000 --> 00:31:30.759
security. But I also know a
lot of times the breaching the attacks happen

395
00:31:30.839 --> 00:31:36.839
because of very basic issues and like
the following security hygiene more than not having

396
00:31:36.880 --> 00:31:40.160
strong enough encryption in place. So
I think as an industry we need to

397
00:31:40.160 --> 00:31:45.359
get our act together first of all
to eliminate like these easy paths and for

398
00:31:45.480 --> 00:31:48.200
attackers to get in. But with
quantum, I think it's also the benefit

399
00:31:48.240 --> 00:31:52.880
of having better technology for security as
well, so the leverage property, then

400
00:31:52.960 --> 00:31:56.920
we will also have better defense,
right, So it goes both ways.

401
00:31:56.960 --> 00:32:01.000
Basically, the good guys, bad
guys get it. Yeah, it is.

402
00:32:01.039 --> 00:32:05.200
You know that we're talking about a
cash list society. Every one's talking

403
00:32:05.200 --> 00:32:07.079
about a cashlest society. Day.
I'm not gonna lie. That does consented

404
00:32:07.160 --> 00:32:10.119
dollars, but you can also hack
into someone's account and make the money go

405
00:32:10.160 --> 00:32:15.920
away. And our most recent hack
on my debit card Google ads. Lucky

406
00:32:15.920 --> 00:32:17.039
for me, we don't that's interesting
to have a whole bunch of And they

407
00:32:17.079 --> 00:32:21.440
started small and they started ramping up. It was like twenty dollars, seventy

408
00:32:21.480 --> 00:32:22.960
dollars, forty two dollars, one
hundred and fifty dollars. On my Wait

409
00:32:22.960 --> 00:32:25.799
a minute, why why am I
broke again? I know I'm not that

410
00:32:25.839 --> 00:32:30.279
foolish, and yeah, because I
was hacked again. And just you know,

411
00:32:30.759 --> 00:32:34.599
it frustrates the end user to have
these experiences because you think, shouldn't

412
00:32:34.599 --> 00:32:37.720
the banks beyond this kind of stuff? Shouldn't the banks be watching for these

413
00:32:37.799 --> 00:32:40.079
kinds of things. And if you
get into the system where you can be

414
00:32:40.160 --> 00:32:44.160
in the banking world transferring money back
and forth, well you have to have

415
00:32:44.240 --> 00:32:46.920
some identity somewhere that can be trapped
and managed, right, I mean,

416
00:32:47.160 --> 00:32:52.279
I just I'm kind of fascinated at
how affected these bad guys are at infiltrating

417
00:32:52.359 --> 00:32:54.880
banking systems because there has to be
a signature of where they came from,

418
00:32:55.359 --> 00:32:58.160
right, I mean, I know
in the security were a lot of times

419
00:32:58.160 --> 00:33:00.440
they use proxies to kind of bounce
around some play it's the place, so

420
00:33:00.519 --> 00:33:02.599
you can't tell where they came from. But when you're pulling money out,

421
00:33:02.640 --> 00:33:07.119
I mean, you're grabbing all kinds
of metadata of what system was on,

422
00:33:07.160 --> 00:33:08.960
what the operating system was, what
the browser was, what the location was,

423
00:33:09.000 --> 00:33:13.480
all that stuff gets captured. I'm
kind of surprised we don't have more

424
00:33:13.480 --> 00:33:15.039
success or maybe we do and I
just don't hear about it. What are

425
00:33:15.079 --> 00:33:20.000
your closing thoughts on just the state
of security in this world and why it's

426
00:33:20.039 --> 00:33:23.079
still such a problem. Yeah,
and certainly the industry has come a long

427
00:33:23.119 --> 00:33:27.519
way, you know, in twenty
years, been long enough times for me

428
00:33:27.599 --> 00:33:31.319
to see that. I really still
think that, you know, security's job.

429
00:33:31.960 --> 00:33:37.960
There was an interesting you know how
many made alias about security being scapegoat

430
00:33:38.039 --> 00:33:42.039
right. It's it's it's a very
tough job to have because they always have

431
00:33:42.200 --> 00:33:47.400
to balance security versus you know,
a business, you know, priorities and

432
00:33:47.440 --> 00:33:53.039
objectives and especially interfering anything that's important
for the business right so right, and

433
00:33:53.079 --> 00:33:58.400
there there's inevitably trade offs. Inevitably, it's always it always comes down to

434
00:33:58.440 --> 00:34:01.559
trade offs, I think it.
You know, as an industry, you

435
00:34:01.599 --> 00:34:06.079
know, as the practitioners out there
in the feel you know, make decisions

436
00:34:06.160 --> 00:34:09.519
and sometimes hopefully most of the times, whether the right decisions. Sometimes they're

437
00:34:09.559 --> 00:34:15.960
not. And you see outcome news, see the consequences from the vendor community.

438
00:34:15.000 --> 00:34:21.440
I think we are really making some
really big, you know, head

439
00:34:21.519 --> 00:34:27.239
raisings and bringing technologies to the practitioners, to the siss of the world to

440
00:34:27.400 --> 00:34:34.599
actually make that balance or decision easier
where security doesn't have to cost productivity,

441
00:34:34.599 --> 00:34:37.559
security doesn't have to cost the business, agility and so on. That's I

442
00:34:37.559 --> 00:34:40.400
think as an industry we're making a
big, big step towards right. I

443
00:34:40.440 --> 00:34:44.480
feel like that that's for the next
ticketute or so. This would be a

444
00:34:44.559 --> 00:34:50.239
huge should be a huge factor in
how the how we prove them overall posture

445
00:34:51.079 --> 00:34:53.440
of the industry and the security.
Well that sounds good. Art, Well,

446
00:34:53.480 --> 00:34:55.320
thank you so much for your time. Holf you been talking to Art

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Welcome back to Inside Analysis, here's
your host, Eric Kavanaugh absolutely okay bolts

497
00:39:07.119 --> 00:39:12.559
back here on Inside Analysis talking all
things identity management these days, identity resolution,

498
00:39:13.320 --> 00:39:15.360
Who are we out of the systems
we use know who we are and

499
00:39:15.440 --> 00:39:19.719
validate us. Obviously, it's a
very huge issue. We were just talking

500
00:39:19.719 --> 00:39:22.840
to Art from bright to all about
that and I was reminded of some other

501
00:39:22.880 --> 00:39:27.599
approaches that some folks are doing and
something that we're actually working on. So

502
00:39:27.679 --> 00:39:30.239
a little special treat for our avid
listeners, I'm going to give you a

503
00:39:30.280 --> 00:39:35.639
stick preview of something that we've been
working on here at Inside Analysis of the

504
00:39:35.639 --> 00:39:38.519
Blur group with some of our partners. And the example I wanted to get

505
00:39:38.559 --> 00:39:44.559
first of all was my good buddy
Sean Brem from Crowdpoint Technologies and what they've

506
00:39:44.599 --> 00:39:49.480
built so federated ID is at the
heart of their mission. What they've really

507
00:39:49.519 --> 00:39:54.639
built is a ecosystem, an e
commerce ecosystem that's based upon a blockchain and

508
00:39:54.679 --> 00:40:00.400
proprietary blockchain that they've built, which
also doubles as a database. It's not

509
00:40:00.480 --> 00:40:06.400
just the traditional slow blockchain style data
structure, but they've done some very clever

510
00:40:06.440 --> 00:40:10.400
things in that regard. But what
I find really compelling about their approach is

511
00:40:10.440 --> 00:40:16.159
the fact that there are focused on
giving value back to the end user for

512
00:40:16.239 --> 00:40:21.480
the data of theirs that is used
to train algorithms. So if you look

513
00:40:21.519 --> 00:40:24.400
at all the hubbub around open ai, for example, and these lawsuits that

514
00:40:24.400 --> 00:40:29.159
have been filed, what did they
basically alleged? They say that open ai

515
00:40:29.239 --> 00:40:32.920
went out and scraped all kinds of
content, including copyrighted content, and they

516
00:40:34.079 --> 00:40:37.800
use all that material to build out
their model, their generative AI model.

517
00:40:38.280 --> 00:40:45.760
Well, it's a good argument if
I've used someone's copyrighted material to train my

518
00:40:45.920 --> 00:40:50.599
engine, which I then make money
from, while shouldn't they whose content was

519
00:40:50.719 --> 00:40:53.760
used get some piece of that action? And that's traditionally how these things work.

520
00:40:54.239 --> 00:40:58.920
I did see just the other day
that there was a judgment rendered in

521
00:40:59.000 --> 00:41:04.440
a court somewhere in the US that
basically said gen ai generated content cannot be

522
00:41:04.559 --> 00:41:09.679
copyrighted. Now, how they would
know what engine generated the cons places beyond

523
00:41:09.719 --> 00:41:14.440
me, and I think that's frankly
an open question. But at least a

524
00:41:14.559 --> 00:41:16.840
standard has now been set. So
what does that mean, Well, it

525
00:41:16.880 --> 00:41:20.360
means that there's going to have to
be some more work to be done.

526
00:41:20.480 --> 00:41:25.039
I heard that open ai also truncated
their sniffing engine. Their engine would determine

527
00:41:25.079 --> 00:41:30.880
whether or not content was created by
an open AI engine or a chat GPT

528
00:41:30.159 --> 00:41:35.519
or something like that, which also
is interesting. Obviously, they see the

529
00:41:35.559 --> 00:41:38.039
lawsuits coming and they know there's something
going to happen here. So what does

530
00:41:38.039 --> 00:41:42.199
this all mean? Well, I
can tell you that these large language models,

531
00:41:42.239 --> 00:41:46.679
these foundational models, are absolutely amazing. They are spectacularly powerful, very

532
00:41:46.760 --> 00:41:52.000
very interesting. Yes, we are
worried about the trust side of things,

533
00:41:52.000 --> 00:41:54.599
but nonetheless we have to be respectful
of the fact that this is going to

534
00:41:54.719 --> 00:41:58.199
change how business gets done. So
what does that all mean? Well,

535
00:41:58.800 --> 00:42:04.760
getting back to federated I that was
crowdping's vision and their idea is that they're

536
00:42:04.800 --> 00:42:07.639
going to pay attention to when your
data is used for something and then pay

537
00:42:07.679 --> 00:42:13.119
you for that small amounts of money
first pennies, then dimes and dollars down

538
00:42:13.199 --> 00:42:16.280
the road, is at least how
the theory goes. So that helps solve

539
00:42:16.320 --> 00:42:22.000
the identity resolution problem at least in
their world. But what we're going to

540
00:42:22.039 --> 00:42:24.039
do here, and this is how
I'm going to fuse these topics together here

541
00:42:24.039 --> 00:42:30.360
at the end of our show today
the rubric and the Rubric is going to

542
00:42:30.480 --> 00:42:36.639
use a large language model as its
text generation tool or engine. But the

543
00:42:36.679 --> 00:42:39.960
moorings, the anchors of truth,
the embeddings, if you will, Those

544
00:42:40.000 --> 00:42:44.280
are going to come from trusted experts. And so we're going to do is

545
00:42:44.280 --> 00:42:46.119
reach out to folks and if you're
into this, send me an email and

546
00:42:46.280 --> 00:42:51.239
though at inside analysis dot com.
If you're an expert in analytics in particular,

547
00:42:51.599 --> 00:42:53.599
these are the folks we're looking to
talk to. First, you could

548
00:42:53.599 --> 00:42:59.280
publish your papers or your works,
your articles, research reports, etc.

549
00:43:00.280 --> 00:43:05.719
In this system that will then use
them and other reports, other trusted reports

550
00:43:05.760 --> 00:43:09.679
as the anchors of truth for the
rubric to help folks make decisions about which

551
00:43:09.679 --> 00:43:14.440
analytic tool to use, how to
use it, what other tools can be

552
00:43:14.519 --> 00:43:16.039
used in conjunction with it, How
could you build a stack? Basically,

553
00:43:16.079 --> 00:43:21.880
what does the modern analytics stack look
like? And we're planning on building that

554
00:43:21.880 --> 00:43:25.039
out right now. So it actually
uses a technology that I've already had built

555
00:43:25.360 --> 00:43:30.679
called media lens, and media lens
I built it. It's a lens with

556
00:43:30.719 --> 00:43:36.280
a Z. It runs a site
inside openside hyphen open source dot org and

557
00:43:36.679 --> 00:43:38.880
it uses that right now. What
I wanted was an engine that I could

558
00:43:39.000 --> 00:43:44.840
use to spin up a highly focused
stream of content that would be useful for

559
00:43:44.880 --> 00:43:47.280
a researcher. So I wanted to
stay on top of the open source community.

560
00:43:47.519 --> 00:43:51.880
So that's where we've targeted first.
And all I did was went out

561
00:43:51.880 --> 00:43:54.920
and found all these different folks who
tweet about open source technologies, who follow

562
00:43:54.960 --> 00:44:00.360
their handles, media lens tracks that
they tracked the different handles that I've given

563
00:44:00.360 --> 00:44:05.519
them to watch out for. And
then what it'll do is it'll grab any

564
00:44:05.760 --> 00:44:10.440
URL that is shared by these folks
with hashtags like open source or drammio or

565
00:44:10.480 --> 00:44:15.639
apache or the other terms, the
key terms that are associated with that particular

566
00:44:15.760 --> 00:44:21.480
industry, and that publishes them as
pending posts in my environment, and then

567
00:44:21.519 --> 00:44:24.159
I can choose to post them or
not. And every time I post,

568
00:44:24.280 --> 00:44:30.480
what I'm essentially doing is building out
my content lake. And so this is

569
00:44:30.519 --> 00:44:35.559
where we're going to use the engine
to help find these anchors of truth that

570
00:44:35.679 --> 00:44:42.440
will sort of pin down the truth
and allow the generative AI functionality to spin

571
00:44:42.559 --> 00:44:46.760
appropriate words around the concepts that the
prompt delivers. So what are we talking

572
00:44:46.800 --> 00:44:50.440
about? I mean, really,
if you think about Siri and these other

573
00:44:50.519 --> 00:44:55.079
engines for these purposes, they're valuable. They can sort of find information for

574
00:44:55.119 --> 00:45:00.920
you, but they're not really trusted
experts in a particular domain. And one

575
00:45:00.039 --> 00:45:04.440
reason for that is because it would
be chew off to bite off, if

576
00:45:04.440 --> 00:45:07.280
you will, for the current engine. So right now, series kind of

577
00:45:07.280 --> 00:45:12.519
pointing you to different things on the
web or giving you information that is readily

578
00:45:12.519 --> 00:45:15.360
available, like the weather or what
time of meeting is, things of that

579
00:45:15.440 --> 00:45:20.039
nature. But when you start getting
into really dense and in trade press,

580
00:45:20.119 --> 00:45:22.840
for example, well you're going to
need more than that, and that's what

581
00:45:22.880 --> 00:45:28.320
we're focused on. So we're focused
on finding the right experts to provide their

582
00:45:28.400 --> 00:45:34.760
materials in a trusted fashion, and
then whenever that material gets used via the

583
00:45:34.840 --> 00:45:40.039
rubric by a paying client, the
people whose insights were used in that immediate

584
00:45:40.199 --> 00:45:45.960
sort of real time mind meld,
they will get rewarded with credits. Now,

585
00:45:45.000 --> 00:45:47.280
it's going to take a while to
build this thing up, but the

586
00:45:47.360 --> 00:45:52.320
point is we're going to try to
create a center of gravity around the topic

587
00:45:52.440 --> 00:45:55.400
of analytics because there's a finite number
of vendors or a finite number of people

588
00:45:55.400 --> 00:46:00.559
who focus on this, and we're
looking for help to do that. So,

589
00:46:00.679 --> 00:46:01.639
like I say, if you're hearing
this and you think it sounds like

590
00:46:01.639 --> 00:46:07.880
a good idea, send me email
info at dm radio dot biz or info

591
00:46:07.920 --> 00:46:10.960
at inside Analysis dot com. Both
of those come directly to me, and

592
00:46:12.039 --> 00:46:15.039
we'll be curious to talk to you
and maybe show you a preview of this

593
00:46:15.119 --> 00:46:17.840
thing. But the idea is that
you really right now, folks are paying

594
00:46:17.840 --> 00:46:22.639
lots and lots of money for Gardner
and Forrester and some of these other consultants

595
00:46:22.679 --> 00:46:25.199
or Boston Consulting Group. A lot
of very smart people at these companies,

596
00:46:25.400 --> 00:46:29.559
but it's hard to get access to
these people. And they just finite human

597
00:46:29.599 --> 00:46:31.920
beings, so they don't know everything, but they know a lot about a

598
00:46:31.960 --> 00:46:37.039
particular domain for example. Well,
if you think about the power of these

599
00:46:37.079 --> 00:46:44.440
foundational models to piece together vectors of
information from multiple sources, if you get

600
00:46:44.440 --> 00:46:46.800
to a critical mass of embeddings,
and this is the key, you need

601
00:46:46.840 --> 00:46:52.519
a critical massive embeddings from trusted sources, then all of a sudden you have

602
00:46:52.559 --> 00:46:59.920
a very interesting, intelligent chatbot that
you can counsel to find out information about

603
00:47:00.079 --> 00:47:04.960
big decisions like which technology should we
buy, like which technologies work well with

604
00:47:05.039 --> 00:47:07.800
the other. That's another very important
thing to understand. It's a lot of

605
00:47:07.840 --> 00:47:13.639
times some technologies don't work together so
well, and some do so knowing which

606
00:47:13.639 --> 00:47:17.639
technologies work well in which environments also
very useful stuff. There's best practices,

607
00:47:17.719 --> 00:47:22.440
I mean, knowing how to go
about setting up a sequel statement to find

608
00:47:22.519 --> 00:47:25.360
certain pieces of information. I mean
a lot of people know that, a

609
00:47:25.360 --> 00:47:30.519
lot of people understand sequel, but
nonetheless a lot of people don't. And

610
00:47:30.639 --> 00:47:35.239
we're a very interesting phase right now
in the world. So are built out

611
00:47:35.280 --> 00:47:39.000
as assistant to help folks understand enterprise
technology, get out of the weeds,

612
00:47:39.079 --> 00:47:46.000
do some better answer faster and less
expensively. Right, Because if you bring

613
00:47:46.079 --> 00:47:50.679
together all these smart minds and get
good content from people who know what they're

614
00:47:50.719 --> 00:47:54.880
talking about, and find to wait
those scores, to wait the information and

615
00:47:54.960 --> 00:48:00.519
to align it topically. And that's
what these embeddings do. I mean to

616
00:48:00.599 --> 00:48:04.800
kind of cap it off here,
embeddings are taxed straight down to And what

617
00:48:04.880 --> 00:48:07.880
the folks did building these large language
models is, you know, they did

618
00:48:07.920 --> 00:48:15.519
some amazing work at being able to
vectorize information text, so they put it

619
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into numbers such that you could do
statistical analysis more easily in fine patterns in

620
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data. Okay, this word is
used in this context. It's also used

621
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in that context. When does it
mean this? When does it mean that

622
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these are the kinds of solutions that
these large language models can provide. They

623
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can give you really good information about
what should be in a certain context and

624
00:48:37.000 --> 00:48:39.960
what should not. But the key
again is the embeddings. The embeddings that

625
00:48:40.039 --> 00:48:44.360
you get to get closer and closer
to the truth. So I just wanted

626
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to tease that fun stuff to you
folks online to asialysis dot com, sending

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different products. M I'm Elizabeth Powers. According to the American Veterinary Medical Association,

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Center in Redlands is serving up some
really cool ice cream at Lamicho Akana.

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Then get your chocolates and other delights
from Seas Candies. Moms and future moms

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who visit the mall can cool off
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at Shiny Nails or Francis Nails and
then pampered at Texture Hair. The Tri

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City Center is filled with retailers who
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City Center in Redlands and see why
they call it the mall with a heart

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with sixty years of fascinating facts.
This is the man from yesterday, back

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in time, from this time.
In nineteen eighty seven, treasure hunters have

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found the Titanic's legendary safe and planned
to open it during a live TV broadcast.

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The Titanic's safe was found on the
ocean floor to an half miles below

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the surface at the Titanic site.
It'll be opened on live TV broadcast in

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October here in nineteen eighty seven.
Tonight, we will show you for the

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first time artifacts which have been lost
to the world for more than seventy five

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years. We will reveal new evidence
which could explain why the Titanic went down,

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and we will open the recovered safe
and police and discover what surprises they

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contain. And from this time in
nineteen sixty eight, according to Jean's maker

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Levi Strauss, there's been an uptick
in Jene sales to women. Some of

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it can be traced to actress Donna
Douglas, who, as Lama Clappett wears

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jeans every week on the Beverly Hillbillies. This has been a films present ice

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and from August of nineteen seventy one, singer Lobo says his recent and first

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hit, Me and You and a
Dog named Boo, had hit written all

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over it. Lobo says the dog
is real, although not his. Boo

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is a German shepherd with Moore at
man from yesterday dot Com. The Tri

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City Shopping Center in Redlands is serving
up some really cool ice cream at Lamicho

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Akana. Then get your chocolates and
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future moms who visit the mall can
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like royalty at Shiny Nails or Francis
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The Tri City Center is filled with
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the Tri City Center in Redlands and
see why they call it the Mall with

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a Heart. Every Wednesday at three
pm, it's The Uncommon Sense Democrat with

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host Eric Bounmt. I love when
his people talk about how old Joe Biden

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is, but he's just a couple
of years behind it. You'll get the

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best political commentary and stuff like this. Good night. Join us for the

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Uncommon Sense Democrat every Wednesday at three
pm on the stations that leave no listener

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behind kc AA ten fifty am Man
one oh six point five. Bobila here

702
00:56:13.000 --> 00:56:16.519
with my home improvement tip of the
day. Gas powered fireplaces have been showing

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00:56:16.599 --> 00:56:20.480
up in more and more homes in
the past few years. They're clean,

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easy to use, and add a
nice ambiance to the home. However,

705
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at one drawback is the noises they
sometimes make. If you hear a popping

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noise when the burner's on, it
may signal small leaks around joints in the

707
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burner assembly. To test for leaks, first turn off the burner and once

708
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the ceramic logs have cooled off,
remove them from the firebox. Next,

709
00:56:39.760 --> 00:56:44.000
mix a bit of liquid detergent with
water and pour it into a spray bottle.

710
00:56:44.519 --> 00:56:47.639
Turn the now exposed burner assembly back
on and look for any small bursts

711
00:56:47.639 --> 00:56:51.920
of flame that may be popping around
the joints. If you don't see any,

712
00:56:52.079 --> 00:56:54.960
try spraying a little detergent makes on
the various joints and fittings in the

713
00:56:55.000 --> 00:56:59.760
burner assembly. If you see bubbles, you found the leak. If you

714
00:57:00.039 --> 00:57:01.800
can't find a leak, or the
leak you find appears to be a hole

715
00:57:01.840 --> 00:57:06.199
in the assembly itself, you'll want
to call in a pro. Get more

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info at bob Vila dot com and
right here at home. But need Bob

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Viva. Was your car involved in
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in business for over thirty years.

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They're highly trained staff and certified technicians
and friendly staff are the best in the

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business and treat each car as if
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and Body Collision Centers are family owned
and offer state of the art equipment and

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tools to ensure optimum results. They
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and specialize in frame repairs with their
modern laser measuring systems. They're OEM certified

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and they have four locations to serve
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Centers offer rental car assistance with free
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and their work has a lifetime guarantee. All Magic Paint and Body Collision Centers

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are in Narco, East Vale,
Marino Valley and in Fontana. Call them

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at one eight hundred and sixty one
Magic. That's one eight hundred six one

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Magic. All Magic Paint and Body
Collision Centers one eight hundred sixty one Magic,

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All Magic Paint and Allabody says drive
carefully. KCAA invites you to join

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doctor Sean Pruett, the Pharmacist on
call each Monday afternoon at one pm on

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KCAA. Doctor Pruett is known as
the Pharmacist for the uninsured. Doctor Pruett

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listens to your medical questions and he
takes your concerns seriously. So tune into

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doctor Sean Pruett each Monday afternoon at
one pm right here on casey AA Radio

735
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ten fifty am and one oh six
point five FM, the station that leaves

736
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no listener behind. Killistina KCAA Lamolinda
at one oh six point five FM,

737
00:58:54.719 --> 00:59:01.800
K two ninety three CF Marino Valley, NBC News Radio. I'm Tammy Trehillo.

738
00:59:02.280 --> 00:59:07.480
Extreme flooding is leaving tens of thousands
stranded at a music and arts festival

739
00:59:07.519 --> 00:59:12.480
in Nevada. One attendee of Burning
Man describes the scene the alkali dust here.

740
00:59:13.000 --> 00:59:15.559
Once it gets wet, it turns
into the cakiest, stickiest mud,

741
00:59:16.199 --> 00:59:20.559
And it has just been impossible to
get around when people's cars are getting stuck

742
00:59:20.599 --> 00:59:22.320
in the roads, and like I
mean, people are like trying to leave

743
00:59:22.360 --> 00:59:25.800
it. A few people are getting
out. Organizers first told the crowd Friday

744
00:59:25.800 --> 00:59:30.000
to shelter in place and conserve food
and water. Authorities closed nearby roads in

745
00:59:30.039 --> 00:59:34.960
Nevada's Black Rock Desert and are keeping
anyone from entering or leaving the event.

746
00:59:35.480 --> 00:59:38.599
Some attendees have left by foot,
hiking multiple miles to an accessible road.

747
00:59:38.880 --> 00:59:43.440
At least one person has died.
More rain is in the forecast. The

748
00:59:43.480 --> 00:59:46.320
festival is set to wrap up tomorrow. Millions of Americans are on the go

749
00:59:46.480 --> 00:59:51.239
over this Labor Day weekend. Experts
predict it will be one of the busiest

750
00:59:51.280 --> 00:59:54.639
travel weekends of the year across the
US. The FAA says Atlanta, Los

751
00:59:54.639 --> 00:59:59.599
Angeles, and Denver are among the
busiest airports. Triple A says compared to

752
00:59:59.679 --> 01:00:02.360
last year, bookings for flights,
hotels, rental cars, and cruises are

753
01:00:02.360 --> 01:00:07.920
all up by four percent. Former
Vice President Mike Pence says nobody's buying by

754
01:00:07.000 --> 01:00:08.519
gnomics, while a top y

