R&D / AI SECURITY

Architecture de sécurité IA - AI & Agentic Security Architecture

Zero Trust security architecture for AI systems and autonomous agents, designed to remain independent from any single model or vendor.

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Challenge

Preserve confidentiality, authority, traceability and human control when models and agents interact with enterprise data, tools and systems.

My role

Security architecture design, control-principle formalization and integration with enterprise security governance.

Key decisions

  • Separate context, knowledge, authority and ability to act.
  • Keep model-external control points and human approval for sensitive actions.
  • Treat identity, tools, memory, secrets and logging as distinct security surfaces.

Public deliverables

  • Public/sanitised security architecture
  • Control catalogue and validation criteria
  • Monitoring and evidence framework
  • R&D dossier with sensitive mechanisms withheld
Public confidentiality rule.
This public page intentionally omits client-sensitive data, exploitable architecture details, internal configurations and proprietary or patent-oriented mechanisms.