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Build a practical security and governance toolkit for generative AI: threat models, policy controls, evaluation for abuse, and structured red-team exercises.
Objectives focus on applied outcomes teams can take back into delivery work.
Prerequisites keep cohorts productive without assuming research-level ML backgrounds unless noted.
Module topics show the shape of the program; private agendas can reorder emphasis without dropping outcomes.
Module 1
Module 2
Module 3
Module 4
Duration: 2–3 days · Availability: on demand
Tooling is kept portable so private sessions can map onto platforms your team already runs.
It is defensive by design. Red-team techniques are taught to help teams find and fix weaknesses in their own AI applications under agreed scope.
The primary focus is application-layer generative AI systems—prompts, retrieval, tools, and operations. Foundational model training security is discussed only at a high level.
Yes. Mixed cohorts of security, engineering, and risk partners often get the most value from the governance and release-criteria modules.
Inquire about Secure AI, Governance, and AI Red Teaming
Share cohort size, preferred format, and timing. We will confirm availability and recommend a delivery path — including private corporate options.
