Designing Your Enterprise AI Security Program
Video coming soon
Designing Your Enterprise AI Security Program
Individual security controls for AI systems are necessary but insufficient. Without an integrated program that connects threat modeling to architecture to governance to monitoring to incident response, organizations have gaps between controls. The final challenge is program design.
“This is the final video in the series. I’ve covered architecture, threat modeling, governance, cost, supply chain, monitoring, and incident response. Now I’m going to show you how all five artifacts connect into a single, integrated enterprise AI security program.”
Architecture Diagrams
Build Notes
- All 5 artifacts as an integrated system: Threat Model → Architecture → Governance → Bridge Guide → TCO
- Circular flow: Identify → Design → Enforce → Integrate → Justify → back to Identify
- Implementation roadmap: foundation → pipeline → runtime → maturity
- Cross-artifact consistency is the quality signal
Lessons Learned
- Building artifacts in sequence (threat model → architecture → governance → TCO) creates compounding understanding
- Cross-referencing between artifacts creates a portfolio greater than the sum of its parts
- The phased implementation roadmap (12 weeks + maturity phase) is realistic for most enterprise security teams
- The hardest part is not building the program — it’s getting engineering, security, and governance teams aligned
Discussion
If you could only implement one of these five components first — threat model, security architecture, governance framework, CISO bridge guide, or TCO model — which would you start with and why?