Independent local planner · Source checked August 12, 2026
Is the evidence ready for a Zero Trust for AI roadmap?
Prepare a source-bounded assessment-to-workshop handoff without connecting a Microsoft tenant. This page does not scan configuration, infer a posture score, implement controls, or certify security.
Planning result
Complete the checks
Select only categories backed by current, reviewable evidence.
- Use the official Assessment for tenant configuration and activity-signal findings.
- Use the Workshop to convert validated findings into a 12- to 24-month First, Then, Next roadmap.
- Enforce agent identity, authorization, tool, data, and memory boundaries outside the model.
- Close tasks only with implementation, negative-path, monitoring, and reassessment evidence.
Quick answer
A baseline starts the control loop
Microsoft describes the Assessment as an automated view of posture based on tenant configuration and activity signals. Its practitioner and executive outputs prioritize recommendations; they do not implement them.
The facilitated Workshop maps findings into First, Then, Next work and a 12- to 24-month roadmap. Its DevSecOps pillar covers 15 control groups and 91 tasks, including four AI-assisted development areas.
Agent-specific evidence must follow the complete action chain: identity, effective scope, tool and parameter, downstream authorization, data and memory boundary, resulting change, correlation ID, and revocation path.
A hard-stop result means the design mistakes planning evidence for assurance, relies on prompts as security boundaries, or cannot contain a high-impact failure. Resolve that condition before expanding autonomy.
Zero Trust for AI assessment questions
Official references: Microsoft Zero Trust for AI update, least-privilege pattern, and memory-safety pattern. Recheck the official surfaces before use.