Build a paved path for secure generative ai

Security is everyone’s job. Provide guardrails, automation, and education so teams can ship features without exposing risk.

Threat modeling canvas

Collaboratively identify threats, trust boundaries, and mitigations for each service. Keep the canvas lightweight and iterative.

Threat modeling canvas outlining assets, entry points, controls, and owners — Apply STRIDE or similar frameworks to ensure coverage.

Security controls

Platform guardrails

Centralized identity, secrets management, and policy enforcement.
Automated dependency scanning and SBOM generation.
Runtime protections and anomaly detection.

Team responsibilities

Secure coding practices and peer reviews.
Threat modeling and security test automation.
Incident response participation and post-incident actions.

Security scorecard

Security scorecard summarizing posture ratings, remediation backlog, and target state — Track adoption of key controls and highlight areas that require investment.

Integrate security feedback into CI/CD to catch regressions before deployment, and validate coverage through the Testing Strategies checklist.