Jun 23, 2026 · 50 min · 11 segments
In this episode of So What About AI Agents, Philippe Trounev sits down with Geoff Mattson, CEO of SecureAuth, to explore one of the biggest unanswered questions in enterprise AI:How do you secure…
Jeffrey MattsonGuest
Philippe TrounevHost
Yeah, I think there's been talk recently about this concept of the SaaSpocalypse, about how agents will disrupt the SaaS world.

And what we're seeing is You know, SaaS vendors and SaaS solutions may survive, but they'll probably look a lot different.

And so rather than being a user interface layer and between some business logic and a database, they might look more like agents talking directly to a database and maybe incorporating some of the business logic and maybe talking to several databases at once.

And so this model completely upends traditional identity that we've grown up with around the world of SaaS

The traditional IDP, it's basic operation as a user logs in, they're given to their IDP, they're given some sort of tokens that say, to prove who they are and give them access to a session with a particular set of SaaS apps.

A concept that we're working back with, the concept of a session doesn't really apply to agents.

This idea of, of course, a human logging in, um, doesn't make any sense anymore at all.

What we're seeing is, uh, the early adopters of agentic have, you know, at least an order of magnitude more agents than humans.

And each of the, the, the agent's identity is quite different from a human identity.

One is humans are relatively unpredictable, but they're relatively slow, encumbersome in what they do.

I can delete a database entry, but I'm not fast enough to click through and delete the entire database.

But a machine can do that, right? So traditionally, service accounts and automated identity, they are very, very predictable.

Yeah, I think there's been talk recently about this concept of the SaaSpocalypse, about how agents will disrupt the SaaS world.

And what we're seeing is You know, SaaS vendors and SaaS solutions may survive, but they'll probably look a lot different.

And so rather than being a user interface layer and between some business logic and a database, they might look more like agents talking directly to a database and maybe incorporating some of the business logic and maybe talking to several databases at once.

And so this model completely upends traditional identity that we've grown up with around the world of SaaS

The traditional IDP, it's basic operation as a user logs in, they're given to their IDP, they're given some sort of tokens that say, to prove who they are and give them access to a session with a particular set of SaaS apps.

A concept that we're working back with, the concept of a session doesn't really apply to agents.

This idea of, of course, a human logging in, um, doesn't make any sense anymore at all.

What we're seeing is, uh, the early adopters of agentic have, you know, at least an order of magnitude more agents than humans.

And each of the, the, the agent's identity is quite different from a human identity.

One is humans are relatively unpredictable, but they're relatively slow, encumbersome in what they do.

I can delete a database entry, but I'm not fast enough to click through and delete the entire database.

But a machine can do that, right? So traditionally, service accounts and automated identity, they are very, very predictable.
The rest of this transcript — segmented and speaker-labeled, so you land on the exact moment something was said
Search every transcript — by keyword, by phrase, or by meaning, across every show Radar indexes
Trends — what is surging across podcasts, measured against its own baseline
Alerts — when a name you follow appears in a newly indexed episode
No account is needed to search Radar.