We are now closer than ever before to living in a world where AI agents are smart enough to run our power grids and manage water supplies. How do we keep them from going rogue? Sarah Guo sits down with Maxim Bar Kogan, founder and CEO of Onyx Securities, to explore the complexities of supervising and securing autonomous agents at the enterprise level. Maxim explains Onyx’s product as an AI control plane, which oversees the permissions and flexible contexts of agents while balancing latency, cost, and reliability. He also discusses how current controls have insufficient context to monitor agent intent, tradeoffs for gradual model rollout, the need for vendor-independent oversight, and Israel’s growing AI and security talent ecosystem. Plus, why Maxim is all-in on AGI.
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Chapters:
00:00 – Cold Open
00:45 – Maxim Bar Kogan Introduction
01:10 – AutoGPT and Betting on Agent Actions
05:17 – What Onyx Product Does
07:47 – State of Deployment in Large Enterprises
09:58 – Securing Agents
12:45 – Why Proxies Don’t Work
14:11 – Why Onyx Trains Its Own Models
18:38 – Onyx’s Talent Culture
21:24 – Mechanistic Interpretability
23:35 – How Onyx Builds Customer Trust
25:10 – Mitigating Risk at the Foundational Level
27:45 – Phased Rollout of Glasswing and Daybreak
29:11 – Large Enterprise Holdouts
30:46 – Onyx and the Larger AI Security Space
32:36 – Should Labs Address Model Trust and Governance?
36:56 – What Needs to Happen in Security
39:14 – Why Maxim is AGI-Pilled
41:15 – Conclusion
