AI Guardrails Architecture Brief
A concise technical document covering policy-enforced automation, AI tool governance, and tamper-evident evidence patterns for regulated production environments.
What the brief covers
- Executive overview of AI automation risk and control boundaries
- Reference architecture from MCP invocation to audit export
- Security and compliance model: default deny, append-only evidence
- Deployment pattern with Kubernetes, GitOps, and ML platform boundaries
- Engagement model for architecture review and implementation hardening
No marketing material. Technical architecture only.