Permissions in the Agentic Enterprise

Who controls what your agents can do?

Join AuthZed CEO Jake Moshenko for a closed-room conversation with engineering and platform leaders navigating the same challenge: AI needs broad access to data to be useful, but giving it that access without compromising security or governance is the part nobody warned you about. Eight seats. No slides. No recordings. Practitioners only, comparing notes on what's actually working.

Why join

Strictly off the record

Chatham House rules apply. What's said in the room stays in the room. No attribution, no recordings, no public summary tied to your name.

Eight seats, hand-picked

Every attendee is vetted. You won't be in a room with vendors, observers, or people still in the evaluation phase.

Practitioner-grade signal

No keynote polish. The goal is surfacing the patterns, mistakes, and workarounds you can actually use.

What we'll discuss

Companies are racing to build internal AI that can query company knowledge, accelerate decisions, and surface insights buried across systems. The hard part isn't building the AI. It's figuring out how to give it access to the data it needs without opening the door to the wrong people, the wrong agents, or the wrong queries. July's session focuses on where teams keep getting stuck:

Retrieval architecture How are teams designing pipelines that make enterprise data AI-queryable without breaking access boundaries?
Data access and permissions Ensuring the right people and agents reach the right data, without creating a governance nightmare.
Self-service AI for employees Enabling internal copilots and knowledge tools without blowing open blast radii.
Governance at scale What policies, telemetry, and approval flows are holding up as AI usage grows across the org?

Apply for a seat

Seats are limited to eight and filled on a rolling basis. We prioritize active builders. If you're in production with internal AI or close to it, you belong in this room.