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A.Team adapter
Outcome-oriented proof text for project entries and profile summaries.
Canonical copy
AI Product Security Architect / AI Governance Engineer Confidential AI Governance Program Designed a practical AI governance control layer using Garak, NeMo Guardrails, Microsoft Presidio, Promptfoo, agentic identities, permission scoping, evaluation gates, and evidence-generation workflows to support ISO 42001, NIST AI RMF, and AIMS-style control objectives for agentic AI systems. Mapped governance objectives across ISO 42001, NIST AI RMF, and AIMS-style control categories into implementable engineering controls.
Public-safe caveat
This case study describes a public-safe AI governance and control-engineering pattern. It generalizes private implementation details, sensitive prompts, internal test suites, client-specific control mappings, and proprietary workflow logic.