Agentic AI in Enterprise
Oct 6, 2026 · 53 min · 12 segments
In this episode of TechUnhinged, host Rabia Javeed sits down with…
- Speakers
David MorimannoGuestRabia JaveedHost
Oct 6, 2026 · 53 min · 12 segments
In this episode of TechUnhinged, host Rabia Javeed sits down with…
David MorimannoGuestRabia JaveedHostWell, for setting the stage off for our topic in hand today, which is agentic AI in the enterprise.
TJ, you've spent over 20 years in the identity trenches, building IGA, implementing PAM, privileged access management, working with Fortune 500s.
What made you pivot from identity governance to writing about AI? What's the problem that you're trying to solve?
There's a couple problems for sure that I think need addressed in the industry.
And one of the reasons why I'm writing the book in particular is if I look at my past experience and looking at the governance controls that we put over humans and carbon-based life forms that exist in all walks of life in the industries that we serve is those core principles of validating who could do what, why they're doing it, is it appropriate? Those are core principles that need adapted into this new world and new age of AI.
And one of the reasons why I'm writing the book is to try to reshape those principles in ways that could be easily digested and easily acted upon for the enterprise to manage agentic AI in particular.
And I think that one of the key differentiators that I want to try to get across, and it seems like the industry is also leaning into, is that when we look at agentic AI in particular, it really, we need to start looking at them as an identity, as a digital governed worker, not as like a traditional service account, for example.
And the easiest way that I kind of put the two sides of that up is on one side, which non-human identities have existed for quite some time.
But on one side, we have identities or non-human accounts that we tell what to do, like a service account.
We're scripting, we're deciding the permissions, we're deciding the actions, and we're telling it to do a thing, to provide an output.
On the other side, though, in this new world of AI and agentic, we're not necessarily telling it to do, we're requesting it to do something.
And because we're requesting it to do something, it's determining how to do the output.
Just like a person, right? We hire a person onto a job and to a role and we trust that they're going to fulfill that role.
We hire them to do the job and they kind of determine the right way to work and flow to give us that output.
And that's kind of why I entitled the book, you know, it's kind of, I could almost summarize it like HR for AI, but it's, you know, agentic AI, you know, why it's kind of the new insider threat, thinking of it as a human almost, but not quite.
Again, it's not a carbon-based life form, but those basic controls over the last 20 years we've developed need adapted.
I wouldn't say replaced or changed, but they need adapted and evolved per se for this new era.
Well, for setting the stage off for our topic in hand today, which is agentic AI in the enterprise.
TJ, you've spent over 20 years in the identity trenches, building IGA, implementing PAM, privileged access management, working with Fortune 500s.
What made you pivot from identity governance to writing about AI? What's the problem that you're trying to solve?
There's a couple problems for sure that I think need addressed in the industry.
And one of the reasons why I'm writing the book in particular is if I look at my past experience and looking at the governance controls that we put over humans and carbon-based life forms that exist in all walks of life in the industries that we serve is those core principles of validating who could do what, why they're doing it, is it appropriate? Those are core principles that need adapted into this new world and new age of AI.
And one of the reasons why I'm writing the book is to try to reshape those principles in ways that could be easily digested and easily acted upon for the enterprise to manage agentic AI in particular.
And I think that one of the key differentiators that I want to try to get across, and it seems like the industry is also leaning into, is that when we look at agentic AI in particular, it really, we need to start looking at them as an identity, as a digital governed worker, not as like a traditional service account, for example.
And the easiest way that I kind of put the two sides of that up is on one side, which non-human identities have existed for quite some time.
But on one side, we have identities or non-human accounts that we tell what to do, like a service account.
We're scripting, we're deciding the permissions, we're deciding the actions, and we're telling it to do a thing, to provide an output.
On the other side, though, in this new world of AI and agentic, we're not necessarily telling it to do, we're requesting it to do something.
And because we're requesting it to do something, it's determining how to do the output.
Just like a person, right? We hire a person onto a job and to a role and we trust that they're going to fulfill that role.
We hire them to do the job and they kind of determine the right way to work and flow to give us that output.
And that's kind of why I entitled the book, you know, it's kind of, I could almost summarize it like HR for AI, but it's, you know, agentic AI, you know, why it's kind of the new insider threat, thinking of it as a human almost, but not quite.
Again, it's not a carbon-based life form, but those basic controls over the last 20 years we've developed need adapted.
I wouldn't say replaced or changed, but they need adapted and evolved per se for this new era.
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