Subvolts take Secure autonomous AI agents with an enterprise control plane that balances performance, cost, and reliability. May 28, 2026 - Developers
- Learn about building secure AI agent infrastructure and managing model rollouts.
- Business
- Understand how to deploy and secure autonomous AI agents in enterprise environments.
This interview provides insights into the practical challenges and solutions for deploying advanced AI agents safely in enterprise settings.
Building an AI Guardian for Enterprise with Onyx Security CEO Maxim Bar Kogan
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From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
Sarah Guo and Elad Gil discuss securing autonomous AI agents with Maxim Bar Kogan, CEO of Onyx Security. Kogan explains Onyx's AI control plane, which manages agent permissions and context while balancing performance and cost. The conversation covers current monitoring limitations, phased model rollouts, the need for independent oversight, and Israel's AI talent.
Imagine giving AI tools the power to manage big systems like power grids. This episode explains how Onyx Security builds a "control panel" for these AI tools. It helps make sure they do what they are supposed to do safely and efficiently, without causing problems.
This episode explores the critical challenge of controlling autonomous AI agents, a topic directly relevant to the advanced capabilities being developed by frontier labs like Google Gemini and OpenAI. It's for business leaders and security professionals concerned about deploying powerful AI safely. Understanding how companies like Onyx build trust and manage risk is essential as AI agents move from research to enterprise applications, impacting everything from infrastructure to daily operations.
- HostSarah Guo
- HostElad Gil
- GuestMaxim Bar Koganfounder and CEO, Onyx Securities
- Guest: Maxim Bar Kogan, founder and CEO of Onyx Securities
- Show: No Priors
- Episode Length: 41 minutes
- Onyx Product Description: An AI control plane that oversees permissions and flexible contexts while balancing latency, cost, and reliability.
- Current Control Limitation: Insufficient context to monitor agent intent.
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
- AI control plane
- Maxim Bar Kogan
- A system that manages and oversees AI agents.
- Mechanistic Interpretability
- Maxim Bar Kogan
- Understanding exactly how an AI model works internally.
39 min1 h 1136 min
49 min
1 h 14Ep 89: AI Research Legend’s Honest Assessment of Where We Are
WithLukasz Kaiser
Questions people ask
- What is Onyx's product?
- Onyx offers an AI control plane that oversees agent permissions and flexible contexts, balancing latency, cost, and reliability.
- What are the challenges in securing AI agents?
- Current controls lack sufficient context to monitor agent intent, and there are tradeoffs in gradual model rollouts and the need for vendor-independent oversight.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Conviction.