The AI Control Plane: Distributed Systems Engineering for Governance-First AI by Nishant Jain, Anshul Pathak
English | February 22, 2026 | ISBN: N/A | ASIN: B0GPPH281R | 314 pages | EPUB | 4.63 Mb
AI governance is broken. The fix is engineering, not documentation.
AI systems today are governed the way software was tested in the 1990s: manually and after the fact. Models are
reviewed before deployment, then retrained four times before anyone looks again. Ethics boards convene quarterly while agents make thousands of consequential decisions per hour. The governance
artifact describes a system that no longer exists.
The gap between "AI system acts" and "governance control evaluates" is where harm happens. This book closes that gap.
The AI Control Plane presents a complete reference architecture (AICP) for runtime AI governance, borrowing directly from the distributed systems patterns that built service meshes, Kubernetes admission controllers, and SRE practices. Six subsystems compose into a governance layer that enforces policy at machine speed:
Identity and Delegated Authority - who is acting and what they're allowed to doPolicy-as-Code - governance rules as versioned, testable, deployable codeExecution Interlocks - action gates, rate limiters, kill switches, and human-approval escalationProvenance and Attestation - cryptographic proof of what happenedGovernance Observability and SLOs - trustworthiness as an operational metricFailure Modes and Recovery - degradation strategies and chaos engineering for governance
Who This Book Is ForPrincipal and staff engineers who design platforms and infrastructure at scale. You know distributed systems. You know service meshes and Kubernetes. This book connects the engineering you already know to the governance problem you're increasingly asked to solve.
Engineering leaders (VPs, CTOs, Directors of Platform) evaluating runtime governance investment will find both the technical architecture and the organizational playbook. Governance and compliance professionals will gain the engineering perspective often missing from governance discussions.
What You'll GetA vendor-neutral reference architecture with data schemas, API contracts, and failure modesTen chapters, each opening with a concrete governance failure incidentDirect mappings from service meshes, admission controllers, OAuth, SRE, and the CAP theorem to AI governanceA four-phase migration playbook from paper governance to systems-first governanceA governance maturity model for assessing organizational readinessWritten for engineers who build platforms, by an engineer who builds platforms.
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