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Narrator: You're listening to
the Humans of DevOps Podcast, a

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podcast focused on advancing the
humans of DevOps through skills,

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knowledge, ideas and learning,
or the SKIL Framework.

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Brian Smith: In a lot of
companies they see the CISOs.

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They were doing all this, but
there's this DevOps group over

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here, and I'm not quite sure
what they're doing, I fully

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understand it and so bridging
that gap, I think is sort of

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where a lot of companies are
fairly immature.

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Eveline Oehrlich: Hello, all
this is Eveline Oehrlich, Chief

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Research Officer at DevOps
Institute, and this is the

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Humans of DevOps Podcast. We are
excited to have a wonderful

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gentleman with us today, Brian
Smith. But before I introduce

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Brian, to you, the title of our
episode today is the Importance

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of Humans in Cybersecurity. As
you all know, we're focusing

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much on the human angle within
DevOps and and the greater

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topic. So welcome, Brian. Hello,
there.

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Brian Smith: Hi, It's great to
be here. Thanks for Thanks for

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having me.

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Eveline Oehrlich: Thanks for
taking the time out of your busy

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day to come to us and speak with
us and me quizzing you on a

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variety of things. So let me, to
our audience, introduce Brian a

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little bit here. There's a lot
of things I will read because I

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cannot remember them all. So
Brian Smith is a 20 year

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veteran, an entrepreneur in
multimedia, cybersecurity, and

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technologies alike. He is co
founder and CTO at Spyderbat, an

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automated runtime security
platform, we'll talk a little

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bit about Spyderbat in a minute.
spider bit Just quickly, stops

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attacks and automates root cause
analysis on cloud native

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environments by proactively
recording cloud systems and

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container activities into a
living Google Map. That sounds

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very intriguing. So Brian has
some background here and

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technologies in 2000, Brian
founded in conjunction with

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somebody else, tipping point
technologies, which was acquired

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by three come. Then in 2009. He
founded click Security acquired

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by alert logic. I remember those
guys, that's exactly the time

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when I was thinking about going
into security, but I stayed in

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doing infrastructure and
operations at my former company.

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Brian has a PhD in Computer
Science from the University of

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California at Berkeley, and in
1994, and was the Xerox

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Professor of Computer Science at
Cornell University until 1998.

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I'm sure maybe there are some
former students of yours, Brian,

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who are listening in wouldn't
that be super? And he holds 13.

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One three patents and is a
fellow of the Alfred P. Sloan

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Foundation. Fantastic. This
reads wonderful, Brian, we're

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excited to have you here. My
first question, I have to ask

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this Spyderbat. That's quite a
name of a company. So first, how

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did you come up with this name?
And second, tell us a little bit

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more about Spyderbat?

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Brian Smith: Yeah, so when you
this is like you said, this is

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my kind of my third startup that
I've done. And when you are

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coming up with names for
startups, there's couple of

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considerations. One is you want
it to be memorable. One is it's

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it needs to be not too cute or
too tricky. These names where

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you say them and you can never
spell them and say can never

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find a website. And so when we
were coming out when we're

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talking about names with a
company, we wanted something

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that was kind of fun. And we're
from Austin. So Austin, I don't

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know if you know it has this big
bridge that goes across the the

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Colorado River, that big lake
there in central Los I have been

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there. And it's the Congress
Avenue Bridge, and underneath it

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has the largest colony of bats,
Mexican free tailed bats in the

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North America, I believe. And
they're like the million bats

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live under there so often is
known as bats. And the city has

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that. So we there's a type of
bat called the spider bat. And

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so we decided to have that as
the name but it's spelled SPI D

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or that they expire. And so when
we went to open up our bank

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account, we're just getting
started. The guy at the bank

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misspelled the name with spyder,
and we thought well that's

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pretty cool. So we we hadn't
actually fired the corporation

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documents yet. So we read
incorporated under under that

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name. And that's it story.

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Eveline Oehrlich: That is a
great story and the banker has

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done you a favor by making a
spelling mistake. That's a great

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story. And at some point you
want it to be instead of you go

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Google it you want to say you go
spyder batted right. That's kind

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of the goal. So when people say
let's go Spyderbat, did what?

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What does that mean? In what
what? Tell me about this Google

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map recording? Tell us myself,
of course, I'm curious as I'm an

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analyst. Tell us about Spyderbat
a little bit.

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Brian Smith: Yeah, we've been,
you know, I've been working in

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security for for 20 years now
and one of the toughest problems

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is, you'll usually get notified
about a security incident when

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sort of when it goes boom, when
something goes boom. And then

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the tricky problem is trying to
root cause that trying to figure

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out what actually happened, do
you have a bunch of

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considerations? Like, what is it
still happening? What happened?

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What was the impact? How do I
how do I stop it right now, who

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do I need to inform and how to
prevent it in the future. And a

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lot of that is trying to figure
out what happened. And the

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problem we have right now is the
traditional way that people do

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that is they start going through
the logs and trying to figure

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out, you know, just from from
log analysis, it's painful. And

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a lot of times the data that you
need is not there in a box. But

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we looked at that and said, you
know, the, these things are all

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just computers running. And so
if we could record everything,

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build this kind of DVR like
capability of everything good,

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bad and different that happened,
and then use that data to flag

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this is interesting, this is
interesting. This was something

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bad happening. Once you have the
bad, you could trace back to

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root cause where this thing
started. So we started building

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something that could record
everything that happened like a

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DVR for your entire network. It
built this map, we put that raw

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data is if you just looked at
the raw data, you'd be kind of

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sad. So it built an analytic
system that turned that into a

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amount that you could
understand, have a world call a

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causal map that for any
instance, you can say this

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caused all this stuff to happen.
And this is the stuff that

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caused it. And then if you can
just attach a security incident

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onto that, then you can go from
that and say, Okay, this is all

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the bad stuff that happened. As
a side effect of that, and work

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backwards to this is what caused
it. When you have that base

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capability, then it's not a long
stretch to add in security

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content on top of that, that
says these are bad things

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happening. And then pretty easy
to add on top of that, well,

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let's stop it dead in its
tracks. Because what we find is

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that when something the average
industry time at I'm sure you

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know this level is that when
something bad has happened, it's

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56 days that they've been in
your network, because the what

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they call the dwell time, and
then it's 178 days to actually

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inventory everything that
happened and figure out of

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investigation time and then 96
days to clean it up. That whole

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process is this massive manual
effort. And so we by having this

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recording, we can really crush
that time.

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Eveline Oehrlich: So you really
reducing MTTR quite

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significantly, right. That's,
that's I think, to me and

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infrastructure and operations,
which is what I come from, it

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sounds like it is an
application. It's almost like a

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dependency map, right? As we
sometimes have application

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dependency maps, but with the
focus on what's actually

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happening from a security
perspective, which then allows

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me as a team member, not
necessarily security, but maybe

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others to kind of look at it,
where we can collaborate and

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say, Hey, here's something and
this is where we need to hone in

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and need to do something file.
That sounds fantastic. Great. I

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love the name spiral bad
superduper. Well, thanks for

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sharing that anybody out there?
Go check out spinal bad. But

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again, I wanted to focus on a
few things here. Because when I

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started at Forrester, I had a
colleague, and I know your

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LinkedIn with him a John Kinder
bag. I know, you know, John, so

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John, dear friend of mine. He
told me once, Eveline, you know,

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you have to remember insecurity,
it's not really, it's not really

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to technology, it's to humans.
It's the people who make the

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change. And challenges always
have a head and into shoulders.

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Right? And I never really, I
never had the chance to do

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research with him. But I was
always intrigued. And I did some

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research before this podcast.
And there's a couple of

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challenges and a couple of
shifts were actually a few

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shifts happening. This is from
Gartner want to make sure I

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shout out to two colleagues,
Gartner. And I want to highlight

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them quickly. So first of all,
this role of the CFO, the chief

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information security officer is
reshaping. So Gartner saying

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it's reshaping from preventing
breaches to facilitating risk

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management. So that's very
different, a very different

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role. second shift is from cyber
risk is a security problem to

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cyber risk is a business
problem. And I think we've seen

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that there's multiple headlines
out there, which made to the to

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the demise of those. And then
third, from security being a

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road plaque blog to say Speed.
Security is actually an Abler of

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agile and secure products. And
that's the one for me in the

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DevOps in the DevOps folks,
which is, that's a great

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statement of shifts. But if you
think about so now, your

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question for you, Brian, if you
think about the three shifts,

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and think about the clients and
your connections and your

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networks, and the folks you talk
to and your experience of 20

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years, and I don't believe that
20 years, I think you'll have

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more than that. But we'll leave
it at that. Where are we there?

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We will somewhere in these three
things? Are we somewhere at the

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beginning? Are we already kind
of if we think of a hype cycle,

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right, are we somewhere at the
beginning of those things? Are

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we somewhere in the middle? Or
have we already matured on to

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organizations making these
shifts from that, to that? What

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What are your thoughts on that?

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Brian Smith: Well, I think
there's three, there's a lot to

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unpack there. But there's,
there's from the risk

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standpoint, I think that the
CISOs have been taking that

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attitude for for a fair amount
of time. So I think most

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companies are fairly mature. And
I think part of that is just,

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it's an acknowledgement of just
having a very pragmatic approach

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to it. One way, that the sort of
notion that you can prevent all

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breaches through, you know, some
magic bullet security project or

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some magic bullet process is is
just kind of fantasyland.

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Honestly, it's the waste I best
way I heard described as imagine

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a castle, like a medieval
castle. And so it's got it's out

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on a plane, and there are, you
know, hundreds of windows and

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hundreds of doors. And it's and,
and you're the defender of that,

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you have all these different
ways that, that an attacker can

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come in, and you have to defend
every single possible entry

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point. And it's just kind of
this impossible, impossible

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task. So the pragmatic approach
is, to certainly shore things

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up, you don't want to leave just
everything unlocked. But then

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also have, you know, sort of
patrols and guards and humans in

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there that are, that are
watching watching the fortress

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and saying, that's a little
weird and being able to

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investigate. And so the risk
management is focusing on those

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areas that give you the most
bang for your buck on those

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things. Whereas if a breach
happened here, it doesn't really

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matter if a breach happens here,
that's really, really bad. And

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so the risk is, you know,
assessing, assessing that

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situation, it's fairly,
depending on the organization

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fairly mature. The, the agility
part is really interesting part

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to me. Because traditionally,
the security opera, you know,

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security was a bit of a
roadblock. And part of that was

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the developers bring in security
as they're the main guys come in

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at that the last minute, and
then they're the guys that say,

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Hey, wait, we need to make this
secure. And it feels like it

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slows things down. And by
involving them earlier, earlier

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in the cycle, which is a lot of
the ship left stuff, that

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opportunities that we've seen,
you end up being able to, for

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them to become enablers of
having things go faster, but

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still, we still have to be
secure as we deploy these

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things. And part of the reason
for that is just that, if you if

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you're not secure, if your
application gets popped, you're

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gonna have a really bad week, or
really bad month while you try

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to, you know, clean up and
assess the damage and stuff as

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as a developer or development
manager, DevOps. So it's all in

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all our interest to prevent that
from happening also from from

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the business standpoint, and I
think the business side is just

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the recognition of, of all the
damage that these things do to

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the business. And so it's gotten
bored level attention at this

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point. So it's not just the
security group that says

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00:13:58,260 --> 00:14:01,890
isolated silo, but it's much
more on the business side.

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00:14:04,270 --> 00:14:06,760
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Eveline Oehrlich: So I've heard
conversations, or I've

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overheard, and I've heard at RSA
or other places. Now, of course,

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most of them might join
virtually, hopefully soon, I can

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go again, we can all travel
again, where I've noticed that

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I've actually seen more business
people at those conventions and

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joining so I an admin Many times
I always wondered, so why is

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business not wandering? In
asking it more questions

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relative to those types of
things? What is your what are

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your thinking? What's your
thinking on the wise business,

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they don't seem to chime up when
things have happened. And then

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they are all worried and now,
but they haven't in the past

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kind of worried about it.
They're just like, Oh, you guys,

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techies, you guys got it?

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Brian Smith: Well, I think I
mean, I think there's a couple

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different things going on. One
is, you know, I like the part of

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the shift towards pragmatism is
this realization that, it's,

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it's really hard to make it make
yourself completely bullet proof

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for one of these things. If
someone really wants to go after

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you like a nation state, it's,
it's very difficult to defend

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against that practice, and to
prevent the breach. But if you

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can have a rapid response to it,
then that involves people and

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processes and technology. So you
want you have to do a little bit

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rehearsal. But that means it's
not just a security only kind of

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these guys, the guys in the
security group, it really has to

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be kind of everyone's business.
And the other is that where we

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get, you know, a lot of the
breaches come in at is through

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exploiting people, honestly,
exploiting social engineering

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attacks and things like that,
which is why companies focus on

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training the people is a good
way. One of the one of the many

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good ways to prevent breaches,
but what I've seen is that, you

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know, sort of the, their, this
traditional security group has

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been focused on securing sort of
laptops and mobile devices, and

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IT systems and things like that.
And then as we've moved into

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DevOps, and more cloud native
world, those are often are,

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especially in Kubernetes, those
are Linux systems. And they're a

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little outside of the expertise.
So I must have seen these

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bifurcation of the security
responsibility falling on DevOps

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dev SEC ops and sre. And this
other group, on the side, LLC,

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suicide in the traditional SEC
ops group, sort of managing the

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the people and processes over
here, and bridging those two

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gaps together, I think is a
business thing, because it has

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it. Otherwise, the two sides,
sort of can fight each other.

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And in a lot of companies, I see
the CISOs say, We're doing all

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this. But there's this DevOps
group over here, and I'm not

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quite sure what they're doing,
and they don't fully understand

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it. And so bridging that gap, I
think, is sort of where a lot of

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companies are fairly immature.

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Eveline Oehrlich: Yeah, I would
agree. I would agree with seeing

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that in our research. And you'll
be delighted to hear in our

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latest upskilling, it 2022 Which
report is out on our website,

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00:17:52,590 --> 00:17:56,490
security, and cybersecurity was
the number one technical skill,

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even before even above cloud, so
that, you know, cloud computing

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skills and things like that. So
I think that's fantastic. So if

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people are out there thinking
about new careers, whatever

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changes you want to make
security, cybersecurity is one

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of those I wish, I wish I would
have followed John, way back

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into into this field. And I
tried to get my kids into it.

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Unfortunately, one is an
architect, the other one is a

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psychologist. So they never
really got interested in either.

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Brian Smith: Now, one thing I
heard along those lines is there

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was my data was from a couple of
years ago, but at that time,

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there were something like half a
million open jobs in

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cybersecurity was forecast to
grow by 2025 to over a million

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open positions. And some of that
is because at least at the time,

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and still is the job is so
manual. And so one of the ways

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we have to look at is automating
it, but not automating it away.

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But automating it as in
providing, making the computer

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these automated systems,
partners with humans that make

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the there are force multipliers
for the humans.

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Eveline Oehrlich: That gets me
to my next question, actually,

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because there is behaviors and
culture, right, which play into

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all of that, you know, if I
think of my family in terms of

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their laptops and their devices,
I probably could break in easily

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to most of them because the
passwords are, I can get them.

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But there's also there's more
than just on the client side.

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But there's other challenges. So
around humans and cultural

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changes, what have you seen and
what would what can you suggest

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to our listeners, what should
they do? What should they look

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00:19:47,430 --> 00:19:51,330
out for? What advice can you
give folks how to respond and

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how to work within this
challenge of helping out in

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around organizations and both in
IT and business?

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Brian Smith: Yes. So I, you
know, I think, you know, part of

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this is what I was saying before
is that traditionally, this was

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viewed as a  SEC Ops problem.
And so we could kind of

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compartmentalize it and say
that's their problem, I'm just

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going to focus on what happened.
And I think there's this growing

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recognition. And this is, this
is a good thing, that it is a

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business problem, and so that
everyone has a has a bit of a

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role to play, because you don't
want your laptop to be the entry

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point for a giant breach of some
sort. So some of this is just,

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you know, go, if you're a
leader, make sure you start

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training, have company wide
training on this. Because every

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individual should know what the
signs are of someone trying to

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trying to break in or trying to
fool you. Social engineering is

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a big attack. But the the, the
other that that sort of, from

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the human standpoint, from the,
from the, you know, frontline

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workers, people and in non
technical positions, for people

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in technical positions, it
started building those bridges

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to the SEC Ops and not treating
them as the enemy, but kind of

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inviting them in to try to try
to work together. And I think a

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lot of the problem there is that
we, we almost talk in different

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00:21:20,240 --> 00:21:26,480
worlds. And in those things, so
finding ways that we can

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communicate with each other so
that we can, the developers, for

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00:21:30,830 --> 00:21:34,250
example, that are developing
application can pass along

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00:21:34,250 --> 00:21:37,100
artifacts to sec ops to say,
this is the way I expect my

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00:21:37,100 --> 00:21:41,210
application to behave. If it's
not behaving, contact me be that

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way. Because I want to know,
because we're all you know,

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00:21:43,850 --> 00:21:47,660
DevOps, we're all responsible
for keeping our piece up and

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00:21:47,660 --> 00:21:50,420
running, and we know our piece
better than any anything else in

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the world. So I see that kind of
role of DevOps, if they can

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establish those communications
of this is what my piece is

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supposed to be doing. That would
be that would be awesome. And

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we're kind of working on at
about about, about developing

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those artifacts that help
automate those processes. But

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then, in the the other parts of
the roles are, you know, there's

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00:22:13,400 --> 00:22:18,170
typically like SRS or more kind
of DevSEC Ops, which are

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00:22:18,170 --> 00:22:22,010
responsible for the full
platform security, and as

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00:22:22,010 --> 00:22:26,810
opposed to individual component
securities. And so I think all

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of those have kind of roles to
play within this. But there's

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but it's, it's treating it not
as the SEC ops problems, but SEC

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Ops being more of a coordinator
of how we how we deal with

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responses and sort of best
practices for longest, and then

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facilitating communication and
treat them as a partner.

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Eveline Oehrlich: I love that
when you said coordinator, I

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00:22:50,240 --> 00:22:54,020
would actually sometimes think
that word means different

357
00:22:54,020 --> 00:22:56,270
things. Maybe it's more of an
orchestrator. But I think that's

358
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the same idea, right? It's said
orchestration, going out and

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bringing those folks together
because many of those folks have

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their own roles. And they have
their own projects and things to

361
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do on a daily on a daily list on
a daily the daily tasks.

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whenever necessary. I'm
responsible for whatever on call

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plus I'm supposed to be also
doing some development, but

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really highlighting that and
orchestrating what have we done

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00:23:21,290 --> 00:23:26,660
now, that makes me think of this
is not something I have any done

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00:23:26,660 --> 00:23:31,220
any research, but metrics,
sometimes. We don't, it seems

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like we don't measure the right
things. We don't incent people

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to be reaching out and
orchestrating right. Have you

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seen any, any specific examples
of organizations who say, Well,

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we're going to go and do
something completely different,

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we're going to incent everybody
on doing one security thing a

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week, or having little jam
sessions or little whatever

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those things are called
anything, anything creative.

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You've seen on on humans getting
together and saying we need to

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change something.

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Brian Smith: You know, the one
thing I think about is there's

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this this book called Thinking
Fast and Slow. Oh, yes. And it's

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00:24:14,459 --> 00:24:18,509
about, you know, how did this
sort of help? There's parts of

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our brain where we really engage
our brain and our rational

380
00:24:21,359 --> 00:24:24,689
thought, and that's the thinking
slow part. And then there's the,

381
00:24:24,989 --> 00:24:27,749
I don't know, scrolling your
social media feed. And that's

382
00:24:27,749 --> 00:24:30,539
the thinking fast part, right?
Where you just kind of you're,

383
00:24:30,569 --> 00:24:35,339
you're doing what I think they
call the information scavenging

384
00:24:35,939 --> 00:24:38,879
where you're scrolling through
and just looking around, and

385
00:24:38,879 --> 00:24:44,819
that tends to be based on our
biological. It's the information

386
00:24:44,819 --> 00:24:48,389
equivalent of our biological
version of scavenging for food.

387
00:24:48,689 --> 00:24:53,009
And for us just looking around
and trying to find pattern

388
00:24:53,009 --> 00:24:55,169
matching. You're saying, Oh,
this looks interesting to go get

389
00:24:55,169 --> 00:25:01,889
or this is a threat. And what I
Think once you there, one of the

390
00:25:01,889 --> 00:25:04,439
most interesting things is
trying to teach people about

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00:25:04,439 --> 00:25:11,159
that and use it to train that
train the people not to kind of

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00:25:11,159 --> 00:25:15,209
just click on things mindlessly,
because but actually spend it,

393
00:25:15,239 --> 00:25:18,719
but sort of see the warning
signs, train train them in that

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00:25:18,719 --> 00:25:21,569
information scavenging to see
the warning signs and say, Well,

395
00:25:21,569 --> 00:25:25,769
that looks like a threat and
turn on the slope. And, and, and

396
00:25:25,859 --> 00:25:31,229
and think before they click on
that thing or do that, that I

397
00:25:31,229 --> 00:25:34,319
haven't seen too much in the way
of, you know, kind of what I

398
00:25:34,349 --> 00:25:36,749
what I think about metrics of,
you know, sort of dials on

399
00:25:36,749 --> 00:25:39,299
gauges. Yeah, thanks.

400
00:25:39,000 --> 00:25:41,610
Eveline Oehrlich: I think there
is still there's still some work

401
00:25:41,610 --> 00:25:46,170
to do in this in this notion of
the safety culture, and shaping

402
00:25:46,170 --> 00:25:49,530
that safety culture, as you
said, first, just quickly

403
00:25:49,530 --> 00:25:53,880
summarizing, so first, really
not just sick ops, but really

404
00:25:53,880 --> 00:25:58,740
the DevOps and the other side
of, of security, to bridge

405
00:25:58,770 --> 00:26:02,820
across to the SEC ops folks who
do the normal things, and then

406
00:26:02,820 --> 00:26:06,900
for business to ensure that they
are aware of what's happening,

407
00:26:06,900 --> 00:26:09,990
right. So if we do design
thinking, for example, in that

408
00:26:09,990 --> 00:26:12,870
stage, right, if we do
development of products and

409
00:26:12,870 --> 00:26:16,440
projects, that we have that
awareness, and then for us, as

410
00:26:16,440 --> 00:26:20,190
individuals, no matter if we're
in it, and business in whatever,

411
00:26:20,820 --> 00:26:24,360
then we have a safety culture
and start helping ourselves and

412
00:26:24,360 --> 00:26:27,900
training each other and helping
each other out. So fantastic.

413
00:26:27,930 --> 00:26:30,720
Anything, any other thoughts you
want to share with us?

414
00:26:30,000 --> 00:26:33,000
Brian Smith: Yeah, the one other
thought is just, you know, in

415
00:26:33,000 --> 00:26:37,710
general, security tends to have
these trends. And one of the

416
00:26:37,710 --> 00:26:42,120
more recent trends was in the
ship love culture was we would

417
00:26:42,120 --> 00:26:47,640
try to build, get everything to
be invulnerable, before we

418
00:26:47,640 --> 00:26:52,770
actually shifted ship. And that
sort of, I've seen sometimes

419
00:26:50,190 --> 00:27:44,820
Eveline Oehrlich: That is that
is a that is great advice. I

420
00:26:52,770 --> 00:26:57,060
that sort of great being the
enemy of the good in the sense

421
00:26:57,060 --> 00:27:00,150
of, Well, once I do that, I
don't have to monitor anything.

422
00:27:00,240 --> 00:27:03,150
It's sort of like I've built
perfect locks on my house. So I

423
00:27:03,150 --> 00:27:07,680
don't need an alarm system. And
I think that's a not a pragmatic

424
00:27:07,680 --> 00:27:14,490
approach. So I think as we as we
go through this evolution

425
00:27:14,520 --> 00:27:16,890
towards, you know, sort of
understanding spirit, just try

426
00:27:16,890 --> 00:27:21,000
to be pragmatic about it, don't
try to vote and the focusing on

427
00:27:21,000 --> 00:27:26,850
risk is a good part of that. And
the focusing kind of what is

428
00:27:27,000 --> 00:27:30,480
actually happening as opposed to
what theoretically could happen.

429
00:27:30,930 --> 00:27:37,980
Is a good  general trend. And
just don't let the the

430
00:27:38,250 --> 00:27:40,800
perfection over here be the
enemy of good.

431
00:27:44,820 --> 00:27:48,840
remember, Diego and myself at
Forrester talking about shift

432
00:27:48,840 --> 00:27:51,720
left many, many years ago. I
think we took too much of a

433
00:27:51,720 --> 00:27:54,930
theoretical approach at the
time. So what you just said,

434
00:27:54,930 --> 00:27:57,810
really thinking about that in a
programmatic way is great advice

435
00:27:57,810 --> 00:28:01,440
to our listeners. Appreciate it.
I have one more question has

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00:28:01,440 --> 00:28:06,060
nothing to do with security.
What do you do it? And don't

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00:28:06,060 --> 00:28:08,670
tell me you're doing security
things on the weekend. But what

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00:28:08,670 --> 00:28:10,020
do you do for fun, Brian?

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00:28:10,000 --> 00:28:13,600
Brian Smith: Oh, recently I've
gotten into tennis see, I have

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two boys. They're they're 18 and
21. Now, but my younger son had

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00:28:20,230 --> 00:28:23,980
gotten really into tennis, from
about the age of nine. And I

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00:28:23,980 --> 00:28:27,430
started playing with him. And
then he rapidly advanced and I

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00:28:27,430 --> 00:28:31,300
couldn't play with them anymore.
So last year, I've been trying

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00:28:31,330 --> 00:28:34,030
the last three years, I've been
playing tennis pretty

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00:28:34,030 --> 00:28:36,520
aggressively to try to get up
the points just so I can play

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00:28:36,520 --> 00:28:37,120
with my boy.

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00:28:38,430 --> 00:28:40,170
Eveline Oehrlich: That sounds
great. Well, maybe there's a

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00:28:40,170 --> 00:28:43,890
natural Roger Federer just
retire. So maybe there was a

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00:28:43,890 --> 00:28:48,510
Roger Federer out there in one
of your sons, who knows, never

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00:28:48,510 --> 00:28:52,140
know. Well, Brian, this has been
wonderful. We learned a lot.

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00:28:52,200 --> 00:28:55,650
This was great meeting you great
chatting with you. And thanks

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00:28:55,650 --> 00:29:01,050
for your time always interested
in few points from the other

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00:29:01,500 --> 00:29:06,570
groups such as security. If
folks want to learn more about

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00:29:07,740 --> 00:29:11,730
your spider bat company, I guess
it's easy to find, but anything

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00:29:11,730 --> 00:29:14,670
else you want to point out to
any white papers, any other

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00:29:14,670 --> 00:29:15,210
things?

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00:29:16,290 --> 00:29:19,860
Brian Smith: No, just it's one
thing in I guess the one thing I

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00:29:19,860 --> 00:29:24,600
doubt in Spyderbat is that it's
got a free mode. So one of the

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00:29:24,600 --> 00:29:26,910
things that's always annoyed me
about companies is where they

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00:29:27,060 --> 00:29:30,690
you have to talk to a sales guy
and sign away things I want

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00:29:30,690 --> 00:29:34,860
people just to try it,
experience it. And then if it

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00:29:34,920 --> 00:29:38,700
turns out to be useful for you,
let's talk but just getting

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00:29:38,700 --> 00:29:40,230
feedback is always good.

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00:29:40,660 --> 00:29:42,610
Eveline Oehrlich: Excellent and
as an analyst I approve that

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00:29:42,610 --> 00:29:46,330
because that's exactly what we
recommend to our vendors. Super.

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00:29:46,630 --> 00:29:50,710
Thank you Brian this was
wonderful. Enjoy your upcoming

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00:29:50,740 --> 00:29:55,030
day for me. I will enjoy the
rest of my day as well and

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00:29:55,060 --> 00:29:57,670
everybody else here listening
into this is Eveline Oehrlichm

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00:29:57,700 --> 00:30:01,420
Chief Research Officer DevOps
Institute with Brian Smith from

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00:30:01,450 --> 00:30:05,080
Spyderbat. Thank you, Brian.
Have a great day everybody out

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00:30:05,080 --> 00:30:06,250
there. Thank you.

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00:30:08,380 --> 00:30:10,480
Narrator: Thanks for listening
to this episode of the Humans of

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00:30:10,480 --> 00:30:14,020
DevOps Podcast. Don't forget to
join our global community to get

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00:30:14,020 --> 00:30:17,380
access to even more great
resources like this. Until next

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00:30:17,380 --> 00:30:20,680
time, remember, you are part of
something bigger than yourself.

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00:30:21,130 --> 00:30:21,910
You belong.

