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ZTAI

Zero Trust for AI Systems

An original workshop on the intersection security teams keep tripping over. Identity for agents, data boundaries for training and inference, and Zero Trust controls for the AI lifecycle.

Duration
Live workshop, 2 days
Level
Intermediate to advanced
Format
Live cohort or private

Who it's for

  • Security architects covering both Zero Trust and AI workloads
  • Platform teams running internal model and agent platforms
  • Governance leaders translating AI risk into operational controls

What you'll leave with

  • Apply Zero Trust principles to AI training, fine tuning, and inference paths
  • Design identity, isolation, and audit controls for autonomous and human in the loop agents
  • Map data provenance and tenant boundaries through the model lifecycle
  • Build a control model that satisfies AI governance and Zero Trust audits in one pass

Notes

Course content coming soon. Built from real engagements, draws from CSA AI Controls Matrix, NIST AI RMF, and NIST 800-207.

Bring this to a team

Open cohorts and private engagements both available. Say what your team needs.

Inquire