Every AI agent in your environment inherits someone's permissions, and most teams have no idea what those agents are actually doing with them. Amir Ofek, CEO and co-founder of Aizome, shares how to make every agent accountable before the damage shows up as a $150,000 bill.
In this episode, Amir explains why human and machine identity tools both fail for AI, why agents act more like eager, naive interns than employees, and how a new category called ARISE (Agentic Runtime Identity Security Enforcement) is emerging to fix it.
This one's for anyone building with AI agents right now (so, most of us). Amir's take: the biggest danger isn't a breach. It's agents quietly doing the wrong thing at scale while nobody's watching.
Impactful Moments
00:00 - Introduction
02:30 - Busting the Myth: "I Know What My Agents Are Doing"
05:30 - The Samurai Story Behind Aizome's Name
08:25 - Why Not All AI Agents Are Born Equal
11:15 - Where Enterprises Are Actually Deploying AI Agents Today
14:25 - What Claude Cowork Inherits Without You Realizing It
17:15 - Machine Identity vs. Human Identity vs. AI Identity
19:35 - Treating AI Agents Like Eager, Naive Interns
23:00 - The Biggest AI Risk Isn't Security, It's Cost
25:45 - Meet Ito: Aizome's Supervisor Agent
26:40 - Inside the New ARISE Category
33:35 - What Aizome Actually Does
35:30 - The Callback: Was the Myth Wrong, or Dangerously Wrong?
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