Uploaded September 2026 | Updated September 2026, 3 weeks ago
Check out Ent.AI here: https://ul.live/ent-ai_yt
In this episode, I chat with Brendan fron Ent.AI about his team's insanely cool new approach to enterprise security that models user and AI intent right on the endpoint. Honestly, it's some of the most exciting tech I've seen in over a decade because it acts like a completely new substrate for both catching mistakes and boosting business productivity.
What we talk about:
The AI Agent Explosion: The rapid deployment of AI agents across enterprises and why their unchecked access to sensitive production data is keeping security teams up at night.
Back to Basics: Why the solution to securing AI agents isn't actually new, but rather a return to classic identity, authorization, and security fundamentals.
The Auditing Nightmare: The impending compliance challenges of proving the exact chain of custody from a user's initial prompt all the way to an autonomous agent's specific transaction.
Centralized Control and Kill Switches: How tools like Okta's agent gateway act as an independent control plane to manage resource connections, issue tokens, and execute an organizational kill switch if things go wrong.
Friction vs. Automation: The emerging threat of agent-to-agent scope escalation and why heavily relying on "human-in-the-loop" safeguards completely defeats the speed and purpose of AI.
00:00 - Introduction and the core problem being solved
01:19 - Defining the concept of "intent"
05:24 - How context is collected and combined locally
10:18 - Understanding the behavior of scripts, AI agents, and humans
12:31 - Using intent for insider threat programs
19:55 - Measuring deviation between actual workflows and official SOPs
28:40 - Preventing spear phishing with just-in-time friction
31:15 - Triggering other tools and SOC integrations
47:17 - Analyst recognition and market adoption
Check out Ent.AI here: https://ul.live/ent-ai_yt
In this episode, I chat with Brendan fron Ent.AI about his team's insanely cool new approach to enterprise security that models user and AI intent right on the endpoint. Honestly, it's some of the most exciting tech I've seen in over a decade because it acts like a completely new substrate for both catching mistakes and boosting business productivity.
What we talk about:
The AI Agent Explosion: The rapid deployment of AI agents across enterprises and why their unchecked access to sensitive production data is keeping security teams up at night.
Back to Basics: Why the solution to securing AI agents isn't actually new, but rather a return to classic identity, authorization, and security fundamentals.
The Auditing Nightmare: The impending compliance challenges of proving the exact chain of custody from a user's initial prompt all the way to an autonomous agent's specific transaction.
Centralized Control and Kill Switches: How tools like Okta's agent gateway act as an independent control plane to manage resource connections, issue tokens, and execute an organizational kill switch if things go wrong.
Friction vs. Automation: The emerging threat of agent-to-agent scope escalation and why heavily relying on "human-in-the-loop" safeguards completely defeats the speed and purpose of AI.
00:00 - Introduction and the core problem being solved
01:19 - Defining the concept of "intent"
05:24 - How context is collected and combined locally
10:18 - Understanding the behavior of scripts, AI agents, and humans
12:31 - Using intent for insider threat programs
19:55 - Measuring deviation between actual workflows and official SOPs
28:40 - Preventing spear phishing with just-in-time friction
31:15 - Triggering other tools and SOC integrations
47:17 - Analyst recognition and market adoption
