prompt injection Archives

Enterprise AI assessment connects data and trust boundaries, threats, controls, owners, evidence, and tests to a bounded risk decision.

Security Review Is Not a Checklist: An Evidence Driven Assessment Model for Enterprise AI

Published September 19, 2026 by Paul Bryant

Assess enterprise AI through a traceable chain of system boundaries, threats, controls, evidence, residual risk, and approval. Distinguish proposed controls from tested behavior and reassess material changes.

Authorized evidence and governing policy shape controlled context and an AI recommendation; independent authorization determines whether to act or hold.

AI Context Governance: From Test Results to Production Controls

Published September 10, 2026 by Paul Bryant

Turn context-evaluation findings into production controls. Preserve critical evidence through retrieval and summarization, assign ownership, and keep release evidence separate from runtime execution authority.

Search Digital Thought Disruption