Why AI Trust Needs Independent Vendors, Not Just Labs
Maxim Bar Kogan, CEO of Onyx Security, explains why independent AI governance vendors are essential for enterprise trust and security, beyond what foundation model labs can offer.
Building an AI Guardian for Enterprise with Onyx Security CEO Maxim Bar Kogan
With Sarah Guo, Maxim Bar Kogan · Sunday, May 31, 2026
This episode features Sarah Guo interviewing Maxim Bar Kogan, CEO of Onyx Security, about the escalating security risks of autonomous AI agents in enterprise. They discuss why traditional security measures are inadequate, Onyx's innovative approach using specialized AI models for oversight, and the broader implications of advanced AI (like Mythos) on cybersecurity and the need for independent governance solutions.
Key takeaways
- Enterprises refuse to trust foundation model labs like OpenAI or Anthropic for AI security. They demand independent, third-party verification for their sensitive deployments. Read more →
- 'Mythos-level' AI models have dropped the barrier to automated vulnerability research from a 20-50 year dream to an immediate reality, making traditional security inadequate. Read more →
- Traditional enterprise security measures fail against autonomous AI agents because they can't keep pace with AI's speed and scale of operation. Read more →
3 articles from this episode
Mythos-Level AI: Your Two-Pronged Security Defense
Maxim Bar Kogan reveals a pragmatic, two-pronged strategy for founders to secure their enterprise against 'Mythos-level' AI vulnerabilities right now.
Onyx's Two-Tier AI Oversight: Blitz Chess for Enterprise Security
Maxim Bar Kogan reveals Onyx Security's two-tier AI agent oversight. Tiny AI models continuously monitor, escalating risks to smarter agents for deep analysis.
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