Tag: ai-governance

All the articles with the tag "ai-governance".

• AI SDLC Governance: Three Layers for Engineering Leaders

  4 Aug, 2026 • Updated 18 Aug, 2026

  A three-layer governance stack (comprehension, review gate, and observability) gives engineering leaders measurable control over AI-generated code volume.

• AI Approval Gates: Engineering Oversight at Machine Speed

  11 Jun, 2026 • Updated 7 Jul, 2026

  AI approval gates: reversibility-tiered human-in-the-loop design with four health metrics that prevent reviewer atrophy at machine speed.

• AI Adoption in Engineering: Breaking the 50% Plateau

  29 May, 2026 • Updated 1 Jun, 2026

  Purpose-built AI tooling cuts per-task cost 21-68%. Three-cohort model and four-phase operating framework for engineering leaders past the 50% adoption plateau.

• AI Delivery Decision Frameworks: Type 1, Type 2, DACI

  22 May, 2026 • Updated 26 May, 2026

  Misclassifying reversible decisions costs more than the decision itself. Four frameworks unblock AI delivery: Type 1/Type 2, Eisenhower, DACI, and PMBOK.

• Why Your AI Agent Failed in Production

  2 Feb, 2026 • Updated 16 Jun, 2026

  Why your AI agent failed: missing decision provenance, not metrics. The 3 observability gaps traditional monitoring won't catch.

• AI Supply Chain Attacks: New Vectors in Dependencies

  13 Jan, 2026 • Updated 11 Feb, 2026

  Slopsquatting: attackers register packages AI hallucinates. XZ Utils showed the stakes. A framework to assess your AI supply chain exposure.