Maxim Bar Kogan on Context for AI Agent Actions

Why the same database action can have different implications depending on the request.

MBMaxim Bar KoganInvitado · Onyx Security
Canal
No Priors: AI, Machine Learning, Tech, & Startups
Publicado
30 may 2026
Vídeo
0:53
Lectura
1 min
Original
inglés
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RESUMEN

En 30 segundos

Kogan argues that security controls should account for the context in which an AI agent acts.

  1. 1AuthorizationA requested operation differs from an unsolicited one.
  2. 2ContextKogan questions what conventional tools can infer.
  3. 3Agent controlsHe argues for context-aware controls.

Conclusiones

  1. Authorization changes the meaning of an action.
  2. Existing tools may lack task context.
  3. Kogan advocates agent-specific controls.
TEXTO COMPLETO

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01

The same action, different context

Onyx Security’s Maxim Bar Kogan compares an explicitly requested database recreation with an agent independently deciding to delete and recreate a database while handling another task.

Onyx Security’s Maxim Bar Kogan compares an explicitly requested database recreation with an agent independently deciding to delete and recreate a database while handling another task.

He says the first action could save work when authorized, while the same action taken without relevant context could be dangerous.

02

Controls and context

Kogan argues that conventional endpoint and API security tools may not have enough context about why an agent takes an action.

Kogan argues that conventional endpoint and API security tools may not have enough context about why an agent takes an action.

He advocates controls designed for agentic systems, warning that otherwise organizations may either overly restrict useful work or miss dangerous actions.

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