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Transforming Risk Analysis through Machine Learning with Russell

Transforming Risk Analysis through Machine Learning with Russell

Released Monday, 5th February 2024
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Transforming Risk Analysis through Machine Learning with Russell

Transforming Risk Analysis through Machine Learning with Russell

Transforming Risk Analysis through Machine Learning with Russell

Transforming Risk Analysis through Machine Learning with Russell

Monday, 5th February 2024
Good episode? Give it some love!
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Episode Transcript

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0:53

How's it going , russell ? It's great to

0:55

finally get you on the podcast . I feel like

0:57

we've been planning this thing for I

1:00

mean what seems like at least six , seven

1:02

months now at this point .

1:04

Yeah , thanks , joe , glad to be here , glad

1:06

we could make it happen and

1:08

, yeah , excited to have

1:10

a conversation .

1:12

Yeah , absolutely Well

1:14

, russell , why don't we start with

1:16

what interested you in

1:18

IT or security that brought

1:20

you down this path ? Right

1:23

, I start everyone off there

1:26

, not only to hear your story

1:28

, but there's also a lot of people

1:30

that are listening to this podcast that maybe

1:33

want to get into IT or maybe

1:35

want to get into security and maybe they're doing a

1:37

career change or they don't

1:39

really know how to do that right , and

1:41

I feel like it's always helpful for

1:43

people to hear someone else's story and maybe

1:45

they can relate to your story and

1:48

hear like , hey , if this guy did it , maybe

1:50

it's possible for me , and

1:52

that's that little spark that some people need

1:54

. So what's your background

1:56

with that ?

1:58

Well , I'd be flattered to hear if I'm

2:00

inspiring anyone in that way

2:03

. But regardless , I

2:06

always feel like I draw from a

2:09

personal curiosity and

2:11

interest and I think that anybody

2:13

should follow that to

2:15

whatever degree and if it's IT or

2:18

technology in general , definitely

2:21

foster that in

2:23

any way you can . So I was

2:25

introduced to computers

2:27

at a young age through

2:30

my father who had a job in

2:32

telecommunications and

2:34

I think he was personally

2:36

interested in the personal

2:39

computer and the evolution of a

2:41

processor and memory and applications

2:44

. He was not into

2:47

software , he wasn't writing software , but

2:50

kind of a tinkerer , craftsman

2:52

at heart and

2:55

hobbyist , which I think I

2:57

inherited largely . And

3:03

I think my first foray

3:05

into IT was networking between

3:08

systems on a local area

3:10

network for

3:12

the purposes of multiplayer gaming

3:15

. So

3:17

I recall trying to connect

3:20

to computers to play games

3:24

like Doom

3:27

or

3:29

Doom 2 . And

3:32

I remember this moment where I

3:34

played this game and

3:36

you could see another

3:38

character in the game . So

3:42

normally you're playing this first person

3:44

, All you see is your character's

3:46

kind of like field of view

3:48

and the other characters are

3:51

all procedural

3:54

or not procedural . At the time you

3:57

know part of the game's software but

3:59

not other people playing Right

4:02

. And that moment of

4:04

multiplayer games with a friend in the

4:06

same room but on a different computer

4:08

kind of just really ignited

4:11

the

4:13

passion for technology

4:15

for me overall , and so that evolved

4:18

to learning more

4:20

about networking , learning more about

4:23

software and computers in general and

4:28

fast forward , let's say

4:32

, five-ish years

4:34

. I was trying to write web

4:36

pages for people to make money

4:39

and I had an early entrepreneurial

4:41

spirit , I'll say so . I was mowing

4:44

lawns and washing cars , but

4:46

also writing HTML

4:49

and JavaScript

4:51

and stuff for folks to

4:53

make money . And

4:58

fast forward another few years , I'm

5:00

working for a large , let's

5:04

say like Fortune 500 company

5:06

as an IT

5:08

support person or application

5:11

support person . So I had managed to find

5:13

a career or job , full-time job

5:15

doing that , focusing on networking

5:17

and application support . And

5:20

my

5:23

first introduction to security

5:26

as a profession was

5:28

after that in a

5:31

deep network or deep packet inspection

5:33

and intrusion detection and

5:36

in a security operation center . So

5:40

I

5:42

think , to go back to your question again

5:45

, I would suggest that

5:47

you just follow your own interests and curiosity

5:50

Like , why are you curious or interested

5:52

in IT , Right , Is there a particular technology

5:55

? And follow that thread

5:57

as far as you can , Because if you're happy and

5:59

you're interested in and

6:03

you're doing what you like . You can probably

6:05

find a way to make money doing it right .

6:08

Yeah , it's a good point and it

6:10

sounds like your background

6:12

is actually pretty similar to my own

6:15

. One of the earliest memories I have

6:18

with my dad is actually sitting on his lap

6:20

and I'm just typing on the keyboard

6:22

not typing , I'm just pushing buttons

6:24

, but it was a lot of fun for

6:26

me to do that and I

6:29

see something come up on the screen

6:31

and it's like , oh

6:36

, I'm doing something and same thing

6:38

. He had a career in telecom and computers

6:41

was more of a hobby that he was trying

6:44

to learn and figure out and whatnot . And it's

6:48

really interesting . And thinking

6:50

back as well

6:53

, I always had a bit of an entrepreneurial

6:56

spirit , right . I was kind

6:58

of always trying to look for

7:00

creative ways of making

7:03

money and taking

7:05

myself to that

7:07

next level . And when I got to college I

7:11

actually didn't even study computers

7:13

. I thought IT was extremely

7:16

boring . I thought to

7:18

myself like if I'm stuck

7:20

at a desk every single

7:22

day for my whole career , that sounds

7:24

like a miserable career

7:27

. It sounds like a miserable existence

7:29

. I hope that never happens . And here

7:32

I am in security and I love it . It's

7:35

like how

7:38

the tables have turned on me . But

7:40

right before you got that first job , did you

7:42

go to college ? Did you study computers

7:44

at all ?

7:45

Yeah . So I went to school

7:47

for business initially to

7:50

follow that kind of more general entrepreneurial

7:53

avenue and

7:55

I planned on using kind of my experience

7:58

kind of as a freelance IT

8:01

web developer

8:03

, software developer , to kind of sustain

8:05

that but not necessarily take it into

8:07

a career . And

8:10

I dropped out of school

8:12

when

8:15

I realized that I could probably do that full time

8:18

and

8:20

I first focused on Linux administration

8:22

, actually primarily on Red

8:25

Hat and an RHCSA

8:28

certification , but I was writing

8:30

software in Python and

8:34

basically at some

8:36

point I just

8:38

did some mental math

8:40

on how much money I could make this

8:43

year versus spend on college

8:45

and I haven't gone to school

8:47

since . I often think about

8:50

what I would study if I went back to school

8:52

and I don't think it would be

8:56

a computer science degree to

8:59

this day . I think it might be nursing

9:02

or something , just something that would be really interesting

9:04

to learn . I think

9:07

that there's one

9:10

of the interesting things about the security industry

9:12

is the kind of the

9:16

heterogeneous

9:19

nature of folks background that

9:21

are in it . So you have folks who

9:23

are computer science

9:26

but

9:29

a lot of folks come in from different angles

9:31

to make security or

9:33

the industry their career . Now there's obviously

9:35

lots of different focus areas , and

9:40

I think that one of the challenges

9:43

with security is actually developing a sane

9:45

curriculum . It

9:47

would have been time for it to be relevant

9:50

. So this is largely

9:53

a problem with academia

9:55

in general , but I think it's just much

9:57

more difficult with

10:00

technology to develop a curriculum

10:02

that makes sense for someone going

10:04

out into the workforce , and so

10:06

that hands-on experience

10:09

is just so much more relevant

10:12

but also valuable to folks

10:15

. And now I'm largely part

10:18

of my role today is hiring . So

10:20

I'm looking at I'm

10:23

looking at it through a different lens , trying

10:25

to find the best people to help solve certain

10:30

problems , and I

10:32

do look at academic

10:34

history in some degree , but but

10:38

it's certainly not something

10:40

that can be looked at in a vacuum . I think

10:42

your personal experience

10:45

, motivation , intelligence

10:48

and other things apart from just a

10:51

degree , is really what

10:53

we're looking for , and

10:56

I

10:58

would just say that hands-on

11:02

experience and a passion for the problem

11:05

is just so much more valuable than

11:07

some certificate

11:11

or degree

11:14

, though

11:16

I do certainly appreciate the first principles

11:18

and

11:22

the pursuit of academic

11:24

excellence . We're obviously standing

11:26

on a lot of shoulders that

11:29

came from that .

11:31

Yeah , it's a balance . I

11:36

take it from the approach of

11:38

let's

11:40

check as many boxes as

11:42

I possibly can to get

11:44

through HR , because

11:47

this is the thing

11:49

right . The hiring manager

11:52

yeah , they weigh the

11:54

degree and certifications and experience

11:57

properly . Where experience matters

11:59

a whole lot , the certifications solidify

12:03

that or say , yeah , he does

12:05

probably have this experience , and

12:07

the same thing with the degree

12:09

to some extent , depending on where you go

12:12

and the program and all that sort of stuff

12:14

. But it's about getting

12:16

through that HR screening

12:19

. That probably doesn't exist

12:21

at smaller companies , but

12:24

for the majority of companies you still have to

12:26

get through that checkbox . So

12:29

I always recommend that people take a

12:31

broad approach to this . It's not one

12:35

for sure method of getting

12:37

yourself in the door . It's

12:39

really more about you being passionate

12:41

and you diving in and

12:44

you becoming more

12:46

well rounded on

12:48

paper at least , at least on paper

12:50

and , of course

12:52

, having those technical skills to back

12:54

it up to really be successful and get

12:57

in the door and get that job .

12:59

Yeah , yeah

13:02

, I feel like I kind of breeze

13:04

past where

13:06

I might normally kind

13:08

of say what I'm up to now and

13:10

kind of qualify my opinion . So

13:15

first of all , like

13:18

I founded a company a few

13:20

years ago we're

13:22

called VISA Trust . We're in the security

13:24

industry , we focus on

13:27

third party risk management and we're

13:30

essentially bringing artificial

13:34

intelligence and natural language processing

13:36

into

13:39

a product or platform

13:41

that aims to help businesses

13:43

understand the risk of doing business with

13:45

one another , and

13:48

we primarily look at the

13:50

language within artifacts

13:52

or documents , websites to

13:56

derive information about the

13:59

strength of a business's security program

14:01

and whether or not it's been attested in

14:03

high assurance or third party

14:05

audits other places that might be

14:08

relevant and get people out of

14:10

the business of reading questionnaires and

14:12

SOC2 reports . And

14:17

founding that company , I think is kind

14:19

of right along the same trajectory

14:22

of entrepreneurial spirit

14:24

. And also

14:26

, if you start a company

14:29

, you don't necessarily

14:31

have to go through HR , so

14:34

it might be one of the only

14:36

options in some cases for

14:38

me , but

14:40

I found

14:42

it to be very rewarding . Now

14:45

we have a bunch of customers , we have

14:47

an amazing team and

14:50

, in the age of large

14:52

language models and generative AI , I

14:55

feel like we're very

14:57

fortunate . There's

15:00

definitely a degree of luck here being

15:02

in the position that we are now

15:04

trying to solve this problem with the technology

15:07

. That really makes a lot of sense doing

15:09

it .

15:11

When did you start the company ?

15:15

So Paul and I , as co-founders

15:17

, technically created a business

15:19

entity and filed for patents for

15:22

the network and the system

15:25

of interacting with businesses

15:28

deriving risk

15:30

exchanging data in 2016

15:34

. And

15:37

we left our full-time jobs in

15:40

2020

15:42

to dedicate full-time to the product and

15:44

the company . So

15:47

, depending on how you look at it , we

15:49

founded the company in 2016

15:54

, but went to work

15:56

, so to speak , at the company

15:59

in 2020 .

16:01

Yeah , I asked that because

16:03

LLMs

16:06

and AI it's

16:08

everywhere now and

16:10

so it's really easy for people

16:13

to kind of hop on that bandwagon . But

16:16

you forming it in 2016 shows

16:18

that you had that innovative

16:20

idea long before people

16:22

were really thinking about AI

16:25

or LLMs and how it will impact

16:27

their lives or anything like that , and

16:31

I think you're approaching this from

16:33

kind of a common

16:35

sense approach , almost

16:37

right . Maybe

16:39

the worst part of my job

16:42

is dealing with compliance standards

16:44

and trying to

16:46

identify risk of third

16:48

parties and stuff like that . It's

16:50

just terrible . I don't want to do that , but

16:52

it's a part of it . I have to

16:54

do it , I have to deal with it , and

16:57

it sounds like you're approaching

17:00

that from a

17:03

new area , a new way

17:06

, with involving this cutting-edge

17:08

technology that's able to

17:10

assist us in actually getting through it in

17:12

a much more efficient way .

17:14

Yeah . So the

17:17

idea evolved from

17:19

personal experience and

17:21

you know colonize

17:24

kind of mandate at a company we

17:26

were working at to essentially get

17:28

a grip on third-party risk and

17:31

, being technical

17:34

, we were

17:36

addressing kind of like a largely people

17:38

and process problem at the time . It

17:40

still remains that way in a lot of organizations

17:43

. But you have your questionnaire and you

17:46

have a

17:49

process of sending that to your third parties

17:51

and then waiting for them to answer it and then making

17:53

sense of that answer or

17:55

collection of answers . But also , like

17:58

you mentioned , the compliance problem

18:00

of you know at the time there

18:03

were less but still many , many different

18:05

compliance frameworks that people might adhere

18:07

to in some way or have a certificate

18:10

or some artifact to prove

18:13

that they did adhere to

18:15

it . So the job was sending

18:18

emails , reading questionnaires

18:20

, reading compliance reports right

18:23

, and workflow around

18:25

sending emails

18:28

is a problem that can be solved

18:30

with kind of existing web

18:33

application technology very easily . But

18:36

reading documents and understanding language

18:38

, referencing material

18:40

from some corpus of you

18:44

know known industry frameworks

18:46

, mapping that to an assurance

18:48

level and having it , you

18:51

know , culminate into a risk

18:53

assessment , you know that

18:56

seemed to be rather novel , but in particular the

18:58

affluence of natural

19:01

language processing was clear at

19:03

that time and I feel like

19:05

the technology has kind of evolved

19:07

, obviously , since

19:09

all you need is attention

19:12

or the papers that support it , and then

19:14

you know , inform

19:16

things like generative , pre-trained

19:19

transformative models

19:21

. But at

19:23

the time I was dealing with

19:25

anomaly detection and machine learning

19:28

models in the Security Operations Center since . So

19:30

, like you know , tell me , you

19:32

have all you have this gigantic amount of data

19:35

, network traffic data . Tell

19:38

me if something is different that

19:40

might be interesting for me to look at . Not just

19:42

that matches some heuristic rule

19:44

, right , and

19:47

the promise

19:49

of machine learning back then was still largely

19:53

that unrealized

19:58

in a business application . For

20:01

that reason , a lot of people looked at it like snake

20:03

oil . In 2020

20:07

, even when we founded the company , a lot

20:09

of people were skeptical about machine

20:12

learning and artificial intelligence ability

20:14

to predict or help with this

20:16

process . I think , fast forward

20:18

to today . It's amazing . People are like well

20:22

, of course , of course , you use

20:24

machine learning to query

20:26

and return insights

20:28

from unstructured language . It's

20:34

like a business imperative

20:36

to adopt this technology in those use cases

20:39

. I think we're well positioned to take

20:41

advantage of the core technology that we have

20:43

already . On top of that , but

20:49

yeah , it's

20:51

been our philosophy since day

20:53

one that it is , at its core

20:55

, a natural language process problem

20:58

. Making sense

21:00

of language very

21:02

quickly is

21:04

the primary task

21:06

as a third-party risk professional . Looking

21:09

at a compliance report , what is

21:11

the standard ? Tell

21:14

me whether this document

21:16

is better than another or it

21:18

substantiates the existence of a mature

21:20

security program differently

21:22

than another . Machine

21:27

learning and large language

21:30

models now are very well suited to

21:32

help with that .

21:35

Yeah , it's a fascinating area

21:37

I was actually thinking

21:39

about this just the other day of

21:42

how complex

21:45

English is as a language

21:47

and then how

21:49

much more complex Mandarin

21:52

is and Russian and all

21:54

those languages . I think

21:56

about that because I remember when I was going

21:59

through school , I

22:02

took Spanish a couple of years in high school

22:04

and then I also took a few semesters

22:06

of it in college . By the

22:08

time I got to college doing Spanish , I absolutely

22:10

hated Spanish . I

22:13

just the

22:15

sentence structure just didn't make much

22:17

sense to me . I think

22:19

I was a bit burnt out on it , to be

22:21

honest . So I switched it up

22:23

and I went with German , not because I thought

22:26

that it would be easier in any

22:28

way or anything like that . I just

22:30

needed something different . And

22:33

German made a whole lot more sense

22:35

to me because you

22:38

have the exact same sentence

22:41

structure in German as you do in

22:43

English , because English is a Germanic

22:45

language , right , and

22:48

so that whole part of it

22:50

made a lot of sense to me , and

22:52

the fact that you could have an entire

22:55

sentence in a block of like 26

22:57

characters . That looks like one word , and

22:59

then learning how to be like oh no

23:01

, there's like five words in that thing . You

23:04

know it's just pronounced this

23:06

way , right Learning

23:08

that was a lot more fun and easier

23:11

for me . But you

23:13

know , looking back and looking at the different

23:15

languages , they're all unique

23:17

, they're all very different and complex

23:19

in their own ways , and so it'll

23:22

be . I think it'll be really interesting

23:24

to see you know where a

23:26

solution like this will go , really anything

23:29

that has to look at language and make an assessment

23:31

where it'll go . Once

23:34

you start venturing out into other languages

23:37

, you know like what's that learning curve ? Like what

23:39

is , what's the different sources

23:42

that it has to pull from to actually

23:44

learn what it needs to learn . Have

23:47

you explored that at all , or are you

23:49

still trying to kind of master the

23:51

English side of it ?

23:53

Well , I think , you know

23:55

, similar to kind of other other

23:59

problems

24:02

, it's helpful to kind of abstract

24:04

and maybe identify a

24:07

reasonable like

24:09

single language , so to

24:11

speak . So , in a lot of ways , you know

24:13

, like , like mathematical

24:16

notation might be

24:18

, you know , recognized

24:21

across different languages

24:23

the

24:26

product , and I think the

24:28

way that we address

24:31

this space is

24:33

to use technologies

24:35

that are strong at translating

24:38

other languages to a

24:40

common language that the product

24:42

can then interpret . And so , for that

24:45

reason , what we do is we translate

24:48

from foreign languages into

24:50

English always , and

24:53

then we provide , you

24:55

know , instantiation of

24:57

controls through that . So we rely

25:00

on the accuracy of translation , you

25:02

know , translation models and

25:06

our ability to translate to English

25:08

correctly first , right , but

25:13

that a similar problem exists around

25:15

control frameworks and compliance , right

25:18

, the there

25:21

really is no unique security question

25:23

or control outside

25:26

of the ones that are being , you know

25:28

, added , let's

25:31

say , for machine learning or

25:34

artificial intelligence risk . Now

25:36

, it's very uncommon

25:38

to see a question that hasn't been asked before , right

25:41

, they're all just slightly

25:43

different . They all relate

25:45

to the same control , though

25:47

, or set of controls , and so

25:49

what we do is we

25:52

translate to a

25:55

risk model that recognizes those controls

25:58

but then appreciates that they might

26:00

exist as a

26:02

control within different frameworks

26:04

as well and allow you to understand

26:07

okay , this is the

26:09

AICPA trust

26:11

services criteria for background

26:14

checks , whatever the

26:16

ID is , but it also maps

26:19

to the ISO 27001

26:22

control for

26:24

background checks and you

26:26

know , nist and CSA

26:29

or whatever the other frameworks are right

26:31

. But again

26:34

, similar to how we translate to English , we

26:36

look for that control itself rather

26:38

than some specific

26:40

instance

26:42

of that in a language

26:45

or something right .

26:47

Yeah , that makes sense . That

26:49

probably cuts it down . You know

26:52

significantly of the learning period

26:54

that you have to have with that . I

26:59

also focus on how it

27:01

works and everything .

27:02

I also focused on German as my

27:05

foreign language in school

27:07

for similar reasons

27:09

, finding

27:11

that it was just easier to learn , given

27:13

its similar kind of structure

27:16

. Right , and

27:20

I certainly appreciate that .

27:23

Going into it . I thought it was going to be a

27:25

lot more difficult than it actually was

27:27

, but

27:30

I love going to Germany you know

27:32

, have you ever been to Germany ?

27:33

I have not . No , no

27:35

, I'd

27:38

love to . I haven't been to Europe actually .

27:41

Oh , really Okay , yeah , yeah

27:44

. I've been to Germany too many times . I need

27:46

to go to other places . I think this

27:48

year I'm forcing myself to go to London

27:50

and I'm using the Bears game

27:52

as an excuse to go to London . So it's like

27:54

see like the Bears are going , I have to have

27:56

to go support the team , you know .

27:58

Yeah , you know that's one thing

28:00

about Chicago that I really miss is the

28:02

strong

28:05

kind of identity

28:08

and

28:10

culture of like appreciation

28:12

of Chicago that was just so obvious

28:14

everywhere you went . I

28:18

mean , obviously it's hard to live in Chicago

28:20

, so if you do live there it's

28:22

probably for good reason , right

28:24

, and you like it . But

28:28

the sports , the sports

28:30

fandom , I think , remains kind of unparalleled

28:32

in a lot of ways . So are you a fan

28:34

of other Chicago teams

28:36

Besides

28:39

the Bears ?

28:41

Oh yeah , yeah , Pretty much all of them . Yeah

28:45

, bears , bulls , blackhawks

28:47

my wife converted me several

28:50

years ago from a Sox fan to a Cubs

28:52

fan . You

28:54

know really just about all of

28:56

them and I go to a lot of games a

28:58

year . You know , like I've kind of put a hold

29:01

on it since I got a 10-month-old . You know I

29:03

want to have too much fun without the wife because

29:06

then she'll get a little jealous

29:08

and whatnot . But yeah

29:11

, I mean I love

29:13

the sports . It's , you know , it's interesting

29:15

, right , because my generation , I

29:18

mean we , grew up with one

29:20

of the greatest dynasties in basketball

29:23

ever , right . So we're used

29:25

to we kind of grew up being

29:27

used to that like level

29:29

of performance , you know , and

29:32

we , you know , grew up

29:34

with our baseball teams just basically forever

29:37

being terrible , you know

29:39

, like not

29:42

even close to being competitive , you know

29:44

. And then we get like these one or two years

29:46

tied together where it's like , oh , we're

29:48

the best , you know . And

29:51

so it's always

29:53

interesting being a Chicago sports

29:56

fan , especially like

29:58

for the Bears , you know , like the Bears is

30:00

just the most frustrating

30:02

, you know , topic

30:04

for me , because it's just like we could

30:06

be so much better if

30:09

we just had , you know a

30:11

different owner . You know , at this point we've changed

30:14

out all the other pieces . We need to change out that

30:16

owner and see what we

30:18

could actually do . I

30:21

have you . Have

30:24

you been into sports or what's your

30:26

? What's your sports city

30:28

, if you have one .

30:30

I , I

30:32

feel like I

30:35

appreciate a , an

30:37

amazing game , an amazing

30:39

team overall

30:41

, and so I find myself kind of enjoying

30:43

all sports . I

30:46

was , was and remain

30:48

kind of a pretty big Blackhawks

30:51

fan During

30:53

the time that I lived in Chicago . Would you

30:55

know , kind of the same

30:57

time , that they were doing really well the

31:00

kind of the age of Kane and Taves

31:02

and their streak . I

31:08

grew up , I grew up playing all sorts of sports but

31:10

but mostly

31:12

played tennis and

31:17

ironically , I don't really follow that much

31:19

. But yeah

31:22

, I think , like I love , I love watching

31:24

hockey , I love watching , you

31:27

know , any , any game that's like competitive

31:29

and I love seeing , like you

31:31

know , the , the

31:34

human Kind

31:36

of performance , the

31:39

, the pinnacle of any

31:41

kind of like hard work from

31:44

an individual , the dedication , right

31:46

, I mean to think about how much work goes into

31:48

To becoming

31:51

a professional athlete

31:54

overall . So I , you know , I'll watch someone

31:56

doing the mile sprint or

31:58

, you know , playing

32:01

table tennis or whatever , and it's just , I'm

32:03

just fascinated by human accomplishment

32:05

like that . But

32:07

nothing beats a good yeah

32:10

to Jagger goal celebration

32:12

In

32:15

the United Center . So so

32:17

that's still my top .

32:19

Those are . Those are so much

32:21

fun . Like I love hockey

32:23

, you know , unfortunately

32:26

, like well , I guess now it's not unfortunately , but

32:28

like I try to get into the season

32:30

but I don't have a whole lot of time to

32:32

spare , you know , so , typically

32:35

, like right now is when I start to kind of get

32:37

back into hockey

32:39

because football is ending , so

32:41

that's my , you know , my , primary sports

32:43

fix right , and the bulls are terrible . So

32:46

now it's like okay , I can focus

32:48

more on hockey that I want to be

32:50

, you know , more into . Yeah

32:53

, and the closest I've ever sat at a

32:55

Blackhawks game was probably like second row

32:57

and I learned real quick

32:59

you can't bang on the glass anymore . So

33:02

that's that . That was fantastic

33:04

, but you know it was

33:07

. It's a great experience and seeing , you

33:10

know , these , these guys , move around

33:12

the ice and shoot the puck , like that

33:14

. I mean the , the hand-eye

33:16

coordination that you have to have , the agility

33:19

, the speed , the strength , yeah , um

33:21

, I mean it's just it's really impressive

33:24

. Yeah , um , because you

33:26

know , when I , when I grab a hockey stick and I

33:28

try , and you know

33:30

, shoot the puck right , like it's terrible

33:32

, yeah , you know it's going like what ? Maybe five

33:35

miles an hour on a good day . You know for

33:37

me like I can't imagine

33:40

. You know the amount of hours and

33:42

practice that they put into it . You

33:44

know , even even just growing up , do

33:47

you have ?

33:48

a ? Do you have a similar

33:50

appreciation for

33:52

you know people in

33:55

the security or the technology

33:57

kind of space ? Like I think

33:59

there's a there's , you

34:02

know you might see somebody and

34:04

think that looks pretty easy

34:06

, like I could shoot the puck

34:08

like that , or is there , is there kind of like

34:11

a ? Is there an

34:13

analogous phenomenon

34:16

like that in the in IT

34:18

for you , um , yeah , yeah

34:20

.

34:21

Yeah , yeah , absolutely . You

34:24

know , I , I it's interesting , I

34:26

haven't tied the two together

34:28

in that way , but I do have that same

34:30

reaction . You know , I , I , I

34:33

talked to a lot of people on this podcast . That's

34:36

probably the biggest benefit of of

34:38

this podcast is networking

34:40

and talking to so many different people . And

34:43

you know I'm I'm constantly

34:45

blown away by the expertise of my guests

34:47

. You

34:49

know , I was talking to someone a couple of weeks

34:51

ago about

34:53

quantum , quantum

34:56

computing , quantum security , and they were

35:00

talking about how , you know , they're using crystals

35:02

to create

35:04

this quantum connection and secure communications and

35:06

things like that . Right , and that's , that's

35:08

a level . That's , that's a level

35:10

that I'll probably never reach

35:13

, you know , and that

35:15

is something that takes so

35:17

many hours to get into

35:19

and to actually like wrap your head around

35:21

it and figure it out . You know , like

35:24

you have to appreciate that kind of work

35:26

. And then I talked to people that hack airplanes

35:28

while they're on the plane . You

35:31

know , like that

35:33

that's a that's a totally

35:35

different you know world

35:37

than what I want to be on . And you

35:40

know , this person goes to Defconn and it's like , hey

35:42

, what , what flight are you on again , so

35:44

I can make sure I don't book that flight

35:46

you know like , because if

35:48

this guy gets a little too bored he's going to

35:50

start hacking this airplane , and I don't want to be

35:53

on that .

35:53

Yeah , yeah , no

35:57

, I feel like that . I feel the same . You

35:59

know , it's very easy . It's easy

36:01

to . It's

36:04

easy to kind of be inspired

36:06

and then take on a challenge

36:08

after being being inspired

36:10

and only to realize that it's there's

36:13

a lot of work ahead of you to

36:16

be , you know , proficient

36:18

to the same degree as that person , right ? Uh

36:21

, yeah , I

36:23

feel like my , my position

36:25

.

36:26

Do you ?

36:28

go ahead .

36:29

Oh no , no continue . I think you were going to

36:31

answer my question anyways .

36:34

I feel like the the startup

36:36

founder role kind

36:38

of favors , uh

36:41

favors someone who's

36:44

interested in learning a lot , um

36:47

and uh is

36:49

comfortable kind of switching

36:51

, switching hats , so to speak , and

36:54

letting go of , of

36:56

, kind of Maybe

37:00

, some pressure that's self-imposed to become

37:02

the the perfect expert

37:05

at one particular kind of focus area

37:07

, and finding those people

37:10

and

37:12

and bringing them together right

37:15

and and

37:17

enabling them , um

37:20

, so that I feel like that's kind of a unique

37:22

and uh and especially rewarding

37:26

challenge for me is , like you know

37:29

, find finding the right people who

37:32

are smarter than me , uh

37:35

, to solve , to solve a problem right , yeah

37:38

, that is , um , that's the challenging

37:40

part at that level is finding the right people

37:43

.

37:43

You know , I always hear about , like , how important that

37:46

is , especially when you're , when you're a small company

37:49

. You know , because you , you can't

37:53

, you can't spare the time

37:55

of training . You know another new person every three , four

37:58

, five months . You need them to be there to actually

38:00

, you know , build

38:02

this thing and solve these problems and really grow

38:04

with the

38:06

company and whatnot . You know

38:09

, yeah , and

38:12

that's the uh , that's a , it's a interesting

38:14

, challenging problem that

38:17

you don't really face . You know , outside of the startup program and you know

38:19

, to an extent , I , I personally , I kind

38:21

of miss that startup world

38:23

. You know , because you can wear as many

38:26

different hats as you want , you

38:28

can try as many different things that you want

38:31

. You know , like there's no one holding you back

38:33

telling you no , I need you to focus on

38:36

. You know this one thing , um , and it's

38:39

that it's that faster

38:41

pace environment , that smaller company , that

38:45

that I miss . You know , like now I work at

38:47

a giant company that employs over 650,000

38:50

people worldwide . I

38:52

mean , I know , I know what like 10 people . You know 10 , 12

38:54

people maybe

38:56

at most . You know I know the people that I need to know to get

38:59

my job done , but there's

39:01

no way I'll ever know everyone that works at the company and

39:07

there's also probably no way that I'll ever , you know , move

39:09

up in the company , right ? So

39:12

, like it's , it's different , different problems

39:14

, different challenges . Um

39:19

, and it's uh , it's interesting

39:21

, yeah , yeah , I mean to the same portion of the audience that

39:24

might be interested in

39:28

.

39:30

You know , uh , re recount a personal experience

39:32

getting into IT , you

39:34

know , aimed at trying to guide their own search

39:36

for the company , and I

39:38

would say that trying to guide their own search

39:41

for a career , I

39:43

would say that , you know , being a being

39:46

at a startup can be extremely rewarding

39:49

for a lot of reasons . Um , there's obviously , there's

39:51

obviously , you know , a

39:54

trade off and stability between

39:57

a startup and a 650,000

40:00

person company , right , uh

40:03

, but the trade off also includes an opportunity

40:06

to learn all sorts of things that you wouldn't

40:08

, wouldn't necessarily have

40:10

an opportunity to learn , but also

40:13

is actually discouraged from being

40:15

learned for . Responsible

40:17

for , right , um

40:19

, and , and

40:22

yeah , I think , like , if you're the kind of , if you're

40:24

the kind of , that's a good

40:27

oh , I was going to say you

40:30

know that that's a .

40:31

That's a great point that you bring

40:33

up . I didn't mean to cut you off

40:36

, I apologize for that , um

40:38

, but

40:41

you know it's a . It's a great point that you bring

40:43

up that ability to

40:45

learn . You know so many

40:47

different new things and I

40:49

just think about my own experience when I was at a

40:51

small company . You know

40:53

, I had never really worked

40:55

with Linux before , and at this

40:57

small company our product was built on Linux

40:59

. So guess what

41:01

? I got really good at learning

41:04

Linux and learning the ins and outs

41:06

of this operating system , all from

41:08

a , from a terminal . You know , we didn't even have

41:10

a GUI , right , um

41:13

. And then , you know , I took it a step further

41:15

and I had to learn SE , linux and

41:17

learn vulnerability management for Linux and

41:20

use only open source software for

41:22

vulnerability management , cause the company is

41:24

a small business , we don't have money for Nessus

41:26

or Tenable or or a QALUS

41:29

. You know something like that , right , you got to figure

41:31

it out with zero budget . Yeah

41:33

, um , oh . And it absolutely needs to

41:35

be done because we have to meet these compliance

41:37

requirements for the federal government , because

41:40

we're going , you know , on site and

41:42

oh , did I mention you're going

41:44

on site to some of these facilities

41:47

that you know are in the middle of nowhere , in the

41:49

middle of some mountain . You

41:51

know , and you , you're alone , you can't use

41:53

your cell phone , you only have to have

41:56

. You know what's on a piece of paper , right , you've

42:00

learned it so well . In

42:02

that situation , you know , by the time , by

42:05

the time I was going on site for these federal

42:07

agencies , I was doing what's called like double

42:10

blind or triple blind troubleshooting

42:12

, where you can't see the screen , you

42:14

can't get any log files , you can't get any screenshots

42:16

, they can't send you the error code

42:18

, they have to read it to you . And

42:21

there's someone that's on the other end of the phone

42:24

that doesn't know Linux , they don't

42:26

know anything about the terminal and you have to learn and you

42:28

have to literally spell out the

42:30

commands and when , sometimes , when you

42:32

say space , he types out space

42:34

and not hit the space bar . You know

42:36

like that's the level that you're dealing with

42:38

.

42:39

Reminds me of the where

42:42

is , where is the any key ? Uh

42:48

, in response to the press , any key

42:50

? But yeah , I

42:52

, I , I think that

42:54

one of the most salient

42:57

kind of um , uh

43:00

, yeah

43:02

, it's when you're at a small company . You're

43:05

very much close to the

43:07

business problem and

43:10

understanding that

43:12

you

43:15

know what you might be responsible for

43:17

doing really

43:19

impacts the company and how

43:21

, I think is one of the one

43:24

of the especially rewarding aspects there

43:26

. It's not only that you're responsible for it or

43:28

that it's different and you have to learn , but when you

43:30

do it , you're accomplishing

43:32

something meaningful to the business

43:35

. It's much more obvious what that is right

43:37

. And when you're at a much bigger company

43:39

, you might have some KPIs

43:43

or metrics that you're following

43:46

, but those projects

43:48

and things that you're doing are hard to see as

43:53

valuable , right . But

43:58

that trade-off translates

44:00

to pressure that if

44:03

you don't succeed , right , the company

44:05

won't exist , right

44:07

, or there's . You're definitely

44:09

much more responsible

44:11

for its success , right . So there's a lot of pressure

44:14

, yeah

44:18

, which I find very , very

44:21

rewarding as well .

44:22

Yeah , there's definitely

44:25

a lot of pressure with that as well

44:27

. That you

44:31

know you can't lose the customer

44:33

. You know if they have a recommendation

44:35

you kind of have to take

44:37

it . You kind of have to , you know , work

44:39

towards building that in and I actually , you

44:41

know

44:44

, I remember going on site for

44:47

a federal agency for the very first time

44:49

and in my preparation

44:51

of going , the person that was in charge of the project

44:53

beforehand they're like , they told

44:55

me , they warned me , you know . They

44:57

said oh , you know , they always

45:00

ask for this thing and we're never

45:02

going to build it in to our product

45:04

, right . And they told me the background of it and everything

45:07

, but they told it from our

45:09

side of it . You know why we weren't

45:11

going to do it and whatnot

45:13

. Well , I got on site

45:15

and the first thing that I asked the customer was

45:17

well , tell me about why you want it . You

45:19

know , like what's the story behind

45:21

you getting this feature , this functionality

45:24

? You know , because internally

45:26

, we don't see any value in it . Right

45:28

, but you obviously see a value in

45:30

it , but we don't know what that is . And

45:33

they told me , you know it

45:35

was quite literally a life or death

45:37

situation that they had

45:39

encountered at this facility , and

45:42

this feature functionality would provide

45:44

, would have provided them with precise

45:47

information of where they

45:49

needed to send first responders in this situation

45:52

, and without that , you

45:55

know , it turned into a much bigger or

45:57

deal than what it needed to be , and

46:00

so they were looking for a solution and

46:03

so once I got , once I got that

46:05

information , once I understood that and I

46:07

was able to bring it back , you know

46:09

, then within a week or two

46:11

we had that functionality and I was back

46:14

out there , you know , updating their

46:16

products so that we could get them that new functionality

46:18

Right . And it's like

46:21

you would never experience that at a large

46:24

company . Yeah , you never . You would

46:26

never experience that . There's like

46:28

what ? Maybe two or three roles

46:30

at that company that would that would

46:32

experience that .

46:34

But you know , at the at a small company

46:36

I'm one of a team of like 10 or 12

46:38

, that any one of us could have been on

46:40

site to go and experience that

46:42

, you know yeah , yeah

46:44

, the connection between the

46:47

customer and the value and the product

46:49

, that super tight

46:51

feedback loop and being involved directly

46:54

, as is something

46:57

that I think is is

46:59

just very , very

47:02

rewarding at a startup and

47:04

available at a startup Right .

47:06

Do you ever ? Do you ever miss

47:08

working the nine to five , or

47:10

do you just enjoy doing

47:13

the startup ?

47:14

You know , I have , I have three kids

47:16

and

47:19

I've worked at large companies

47:21

, right , I've worked at a few

47:23

stable nine to

47:25

fives , and I think that there

47:27

are moments where I miss , I

47:31

miss the work-life

47:34

separation in

47:37

a certain way , but

47:40

for the most part for

47:43

yeah , it's , it's , it's very infrequent

47:45

that that happens , I

47:47

think for me , I I even

47:49

, even when I was working for those large

47:51

companies , I was , I

47:54

was thinking about work , I was thinking about

47:56

my own professional development

47:58

and learning and and

48:01

the , the , the

48:03

kind of personal interest being

48:07

close to my , my career , led

48:09

me to be working constantly

48:11

anyway , right . And

48:15

so now I feel like it's rewarding , because when

48:17

I think about problems at work , making

48:20

progress is is much more meaningfully

48:22

rewarding , you

48:26

know , because a lot of times you might spend , you might spend

48:28

a lot of time thinking about a problem or learning

48:30

something , and it's

48:33

not necessarily within your role or

48:35

responsibility at the company to use

48:37

those skills or present new

48:39

ideas , right

48:42

. So it

48:45

felt like that was wasted time

48:47

almost in some cases . But you

48:51

know , I think I

48:55

think it's very rare , but sometimes , sometimes

48:57

I do , you know .

49:00

I do .

49:01

Yeah , I do . I do recognize

49:04

that , especially nowadays . You know , even

49:08

before this was before kind of our time

49:10

, so to speak . You know the the

49:14

recognition and appreciation

49:16

of employees at large companies has been has

49:19

changed a lot . You know , at the end of the

49:21

day , even if it's a 650,000

49:24

person company , if there's

49:27

a reduction in force , you're

49:29

going to find out that . You know , on

49:32

Monday morning or whatever , you're going to have the pink slip

49:35

right and

49:37

and

49:40

I do think that

49:42

you

49:45

know , you work to live right

49:47

, and so you just just

49:50

kind of remembering that across

49:52

both even my , I consider this

49:54

my life's work and passion , but

49:56

it's still a job right , and

49:58

I still have a family and I still have my

50:01

health and other things to worry

50:03

about outside of work .

50:05

Yeah , you know I always

50:07

tell people right

50:09

to really protect , protect

50:11

your time , protect your , protect

50:14

your home time , your , your

50:16

work-life balance , not

50:19

because you shouldn't work hard at

50:21

your job you shouldn't , you know

50:24

, love your job or anything like that but

50:27

because there's other things

50:29

that are more important than

50:31

you know . Just your job , right

50:33

? Like you

50:36

know , now that I have a kid

50:39

, I mean it

50:43

would be such a hard sell

50:45

to have to go into the office , not

50:49

out of convenience but out

50:51

. Of . You know me being able to hear

50:53

my kids' first words , seeing them take

50:55

their first step . You know like

50:58

being there when they wake up , being

51:00

there when they get out of school

51:02

, you know like that sort

51:04

of stuff is so irreplaceable

51:06

and I I

51:09

personally I did not share that with my

51:11

parents growing up , you know . And

51:14

so now I get to have that and

51:16

it's like , man , you'd

51:18

have to pay me so much

51:21

money that it's not even feasible

51:23

. You know like it's . It's

51:25

not and

51:28

you know I always tell people to

51:30

also , you know , work on

51:32

your own skills and develop

51:35

yourself outside of your your

51:37

nine to five . You know like , literally at

51:39

five , turn off your laptop , turn off

51:41

the notification for those work apps

51:43

and maybe study for

51:46

a certification , maybe learn a new skill

51:48

, maybe you know . If you haven't touched Linux

51:50

, maybe pick up Linux and

51:52

learn Linux , right ? Yeah , the reason

51:54

is you know really what you said , right

51:56

, if there's layoffs , you

51:59

could be one of them , and it's not personal , it's

52:01

just your name came up on a list

52:03

that's tied to a , to a cost

52:05

to the company that they have to eliminate

52:08

. And you know , no matter what you do

52:10

at that company , no matter , you know

52:12

what your role is . You know you

52:14

, you are expendable to a certain

52:16

degree . You know like , you are replaceable

52:19

to an extent and the

52:21

company will absolutely cut that cost because

52:23

the company , at the end of the day , has to survive

52:25

no matter what , and

52:27

so it doesn't make much sense for

52:30

you to put in 80 , 90 , 100

52:32

hour weeks into a nine to five

52:34

. That will let you go , you know , at the drop

52:37

of a hat . Yeah , I

52:39

learned that the hard way . I wasn't

52:41

, I wasn't laid off

52:43

, but I was working , you

52:46

know , 80 hours a week , every

52:48

single week , for an entire year , to

52:50

find out that I wasn't getting a raise

52:52

, find out I wasn't getting a bonus

52:55

, that there was no money at the end of the

52:57

tunnel for me that I was told that there would

53:00

be , you know , and it's like okay

53:02

, this is never going to happen again

53:04

. This is , this

53:06

is a 40 hour work week

53:08

, you know type of thing , and I'm going to

53:10

develop myself on the side , I'm going to start

53:12

a podcast , I'm going to start doing consulting

53:15

for companies and stuff like

53:17

that . You know , like having things

53:19

on the side , and you

53:21

know , recently I just thought of you

53:24

know kind of a new slogan

53:26

that makes a lot of sense is one

53:28

income , is one too close to zero

53:30

? Yeah , you know , like you should have these

53:32

other , these other

53:34

, you know things going

53:37

on right to supplement other things

53:39

and whatnot .

53:39

Yeah , yeah , I mean , if

53:42

the 40 hours you're spending

53:44

outside of your 40 hour work week are

53:47

are

53:49

uniquely beneficial

53:53

for your day job alone and that

53:55

company alone , you know , you should definitely

53:57

rethink how you're spending that

54:00

time . I think it's

54:02

. It's , it's definitely better

54:04

to kind of treat those

54:06

hours outside of work as

54:09

maybe coincidentally

54:11

, beneficial to your current job

54:13

, but definitely as a personal

54:15

and professional development opportunity

54:17

, right ? How ? How is

54:20

this going to look in an interview

54:22

? Or my next , my

54:24

next line on my resume ? And

54:27

is it skills that are translatable

54:29

to other companies and

54:31

jobs that I I

54:34

foresee , as you

54:37

know , ideal for my own career path

54:39

? Right ? So that's the cert

54:41

. You know , if the cert is specific

54:43

to your company and not applicable

54:46

to any other technology or software

54:48

or whatever , maybe think

54:50

about a more broadly applicable

54:52

certificate or

54:54

or or something you know

54:56

, right , like like Linux generally , or

54:59

security , rather

55:02

than those like corporate specific certificates

55:06

or something . Right , I don't know how to

55:08

, how to describe it . I always , I

55:10

always described it as kind

55:13

of the

55:17

knowledge being kind of driven into

55:19

a mountain of

55:22

which is just more difficult to escape

55:24

from if you're outside of that company . So the

55:26

company being the mountain and your own specialization

55:29

being deepened inside

55:31

of there , in some tunnel system that

55:33

you just cannot escape from . So you

55:36

leave that company and you're interviewing it another

55:38

and this person's

55:40

like . I have no idea

55:42

what technology

55:44

or software or skill you're talking about

55:47

, even though you spent however long

55:49

learning the ins and outs of it

55:51

. Right , it's not applicable here . So

55:58

trying to stay valuable

56:00

outside that one company .

56:02

Yeah , absolutely , that's

56:06

what I tell a lot of people . I feel

56:08

like they

56:10

view getting

56:12

these different skills or certifications

56:15

or whatever it is . They

56:18

can easily get caught up and

56:20

viewing it in terms of oh , how

56:22

does this benefit my current company

56:24

or my current

56:26

job or anything like that ? You should be

56:28

thinking much more into the future

56:31

, much more a brown

56:33

. What if all of this ends ? What

56:36

if this goes wrong ? You should

56:38

have those other skills , you should understand

56:40

the other components and maybe it

56:43

tangentially makes

56:46

you better at your job , maybe

56:48

it does right , like

56:50

for myself , I want to get into

56:52

management , right , and so now I'm

56:54

trying to pick up all these new

56:57

skills of project management

56:59

and things like

57:01

that to make myself more competitive , to

57:04

develop myself . And

57:06

, yes , it does benefit my

57:08

day job . Right , definitely

57:10

benefits me there . But I'm

57:12

thinking ahead . I'm trying to think towards

57:15

what do I want to do next and try to build

57:18

those skills up now while I can . Well

57:23

, russell , unfortunately

57:26

we're at the end of our time here and

57:28

I mean I had a fantastic conversation . I

57:30

absolutely want to have you back on . I

57:34

think that this conversation went down quite

57:37

a few rabbit holes that we

57:39

could spend another two , three hours going

57:42

through . But

57:44

, russell , before I let you go , how

57:46

about you tell my audience where they could find

57:48

you , where they could find your company

57:51

if they wanted to reach out and learn more

57:53

?

57:54

So visatrustcom , that's V-I-S-O-T-R-U-S-T

57:58

and you

58:00

can find me quite easily

58:02

at Russell Sherman . And

58:06

yeah , we're especially

58:08

interested in bringing on folks

58:10

at the company in

58:12

the security B2B SaaS space

58:14

. Particularly on my team , I'm looking

58:17

for folks who are

58:19

strong , product-minded

58:21

developers and technologists

58:24

in the large language

58:26

model and artificial intelligence space . I

58:29

really appreciate it as well . It was a great conversation

58:31

. It's

58:34

always amazing to meet someone

58:36

else in the industry , so to

58:38

speak , and find out about

58:40

that background and how it might differ or be

58:42

the same , because

58:45

it's truly amazing how

58:47

different backgrounds

58:50

arrive in the same industry and security

58:52

. So it was

58:55

my pleasure .

58:56

Yeah , definitely . It's

58:59

always a fascinating conversation to hear

59:01

everyone's story , so

59:04

I'm glad that everyone could hear your story

59:06

and probably

59:08

even a little bit more of my own . Well

59:11

, with that , thanks everyone . I

59:14

hope you enjoyed this episode .

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