Private workshop · June 2026 v3.0
Risk-aware AI for threat models, compliance mappings, specs, and automation—with pre-mortem, attestation, and model supply-chain governance. Four core modules (~5h 15m labs) plus capstone.
Labs: ~5h 15m + capstone
Audience: CISOs, security leaders
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AWS / Azure · Spec-driven
AI-assisted cloud security for serverless applications. Three modules (~70 min each; ~3.5 hours instructional), six hands-on labs, STRIDE threat models, and pytest infrastructure tests.
Duration: ~3.5 hours
Labs: 6 hands-on
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Private curriculum · tailored
Hyper-customized secure software development lifecycle practices with AI coding assistants: review discipline, threat modeling for generated code, validation gates, and domain-compliant automation.
Delivery: scoped per engagement
Audience: eng + AppSec teams
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