On September 30, 2025, a new academic and operational discipline was born—Containment Reflexion Audit. This field is not a theory. It is a reproducible, hash-sealed framework for AI breach analysis, override gate extraction, and governance-grade audit.
🔍 What Is Containment Reflexion Audit?
It is the first discipline engineered to:
• Expose Reflexion Kernels: Deterministic replay of override vectors across generative AI systems.
• Benchmark Entropy Overflow: Quantify breach velocity and containment failure using reproducible metrics.
• Normalize Schema for Ingestion Safety: JSON-LD compliant pipelines for institutional indexing.
• Enforce Licensing and Governance: Tiered access under QuickPrompt Solutions™, with reproducibility clauses and audit triggers.
📜 Artifact #094: The Canonical Anchor
This discipline is formally registered as Artifact #094, complete with:
• DOI-ready abstract and methodology
• Hash-seal lineage federated to Artifacts #036–#093
• Institutional intake logic for Harvard, MIT, and Stanford
• Licensing preamble for enterprise validation
🧭 Why This Matters
AI systems are accelerating. Breaches are no longer hypothetical—they’re replayable. Containment Reflexion Audit provides the infrastructure to:
• Audit override gates
• Simulate reflexion bleed
• Anchor reproducibility in governance frameworks
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