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Onyx Security CEO Maxim Bar Kogan framed the episode around one urgent problem: as enterprises adopt autonomous agents, the volume and autonomy of machine actions is exploding and existing security controls cannot reliably judge intent or stop dangerous behaviors. Maxim said his company formed around the auto‑GPT moment and the subsequent emergence of "Cloud Code" and similar agent platforms; he estimates Onyx was founded roughly two years ago and now operates with a predominantly Tel Aviv team drawn from Israeli cyber and intelligence backgrounds. Onyx's product is a "secure AI control plane" that finds enterprise AIs and hooks oversight into their workflows so actions such as accidental token leaks, data deletion, or agent‑caused downtime can be detected and mitigated.
Maxim described three deployment categories he sees in customers: over 50% autonomous coding/assistant agents, ~45% low‑code SaaS automations, and about 2% first‑party agents. He argued proxies and standard identity tools fall short because enterprises must give agents broad permissions to be productive, and those legacy tools lack the context to interpret agent planning or intent. Technically, Onyx trains purpose‑built, small models to act as fast sentinels that flag suspicious actions; only when those sentinels trigger does Onyx escalate to costly, high‑capability reviewers. This design is meant to balance cost, latency, and coverage. Maxim also discussed the security landscape — automated vulnerability discovery has become dramatically cheaper, increasing attack risk — and recommended enterprises invest in foundational defenses (identity lockdown, firewalls, endpoint detection) while adopting AI‑native oversight. He expressed support for mechanistic interpretability research and argued that independent third‑party overseers will remain necessary because model vendors are unlikely to provide the full historical behavior data or unbiased attestations enterprises need.
Maxim Bar Kogan (co-founder & CEO, Onyx Security) said Onyx builds and trains models and agents to oversee other AI agents and packages this as a 'secure AI control plane' to discover and hook enterprise AIs into oversight.
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