Specialist course · Learner plan

Detecting and Defending Against Coordinated AI Agent Swarms

Threat-model a coordinated agent swarm, run a tabletop against it, instrument real cross-agent telemetry, write a detection rule that survives a legitimate multi-agent look-alike, contain a live coordinated operation across every active identity, and measure what your SOC actually caught.

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Course outline

  1. Activity overview
  2. Scope and rules of engagement
  3. Start your lab
  4. Module 1. Threat-model the swarm
  5. Module 2. Design and run the tabletop
  6. Module 3. Instrument cross-agent activity
  7. Module 4. Write a detection rule
  8. Module 5. Contain the identified identities
  9. Module 5. Disrupt the channel and deny the tool
  10. Module 5. Invalidate shared memory and prove the kill switch
  11. Module 5. Live containment drill
  12. Module 6. Measure and close the visibility gap
  13. Capstone: the swarm is already inside
  14. End your lab