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AI Security workshop

Securing AI Agents

Control what your agents can do before they do it.

  • 1 day
  • Hands-on in AI Governance Platform
  • On your own system
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The problem

Agents with tool access turn a bad model output into a real action. This workshop designs permissions, pre-execution checks, and audit trails for your agents.

Who it's for

Security architects and engineering teams deploying agents with access to systems or data.

What to bring

Your agents’ tools, the systems they touch, and who can trigger them.

The course side

What your team learns

  1. 1

    Agent inventory

    What agents run, what they can access, and who owns them.

  2. 2

    Excessive agency

    Threats specific to LLM agents and how they get exploited.

  3. 3

    Pre-execution policy checks

    Stop unsafe actions before they run, with human approval where needed.

  4. 4

    Evidence and audit

    Logging every decision so incidents can be reconstructed.

Builds on these course lectures

  • The Sources of Threats for LLM Agents
  • Agents vs Responsible AI Adoption
  • GenAI Emerging Defenses

The platform side

What your team builds in AI Governance Platform

  • Inventory your agents, their tools, and the systems they touch
  • Risk score each agent by access and autonomy
  • Record permission and pre-execution policies as controls

Also used: Agent permission matrix, Runtime policy patterns

About AI Governance Platform →

Your team leaves with

  • • An agent permission matrix
  • • Runtime policy rules and an audit-logging design

Book this workshop

Request Securing AI Agents

It's pre-selected in the form. Add others to combine them. Contact us for pricing: fill in your details and we'll reply within one business day.

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Model Evaluation

Solution Review

AI Security

Responsible AI

AI Product