Anumati defines proof of adherence via versioned PolicyDocument, ConsentRecord, and AdherenceEvent primitives as a non-breaking extension to A2A and MCP protocols.
Governance-as-a-Service.arXiv2025, 2508.18765
7 Pith papers cite this work. Polarity classification is still indexing.
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The paper introduces the Informational Viability Principle and Agent Viability Framework to govern autonomous AI agents by bounding unobserved risks using viability theory, with a new Viability Index for predictive control.
The AAGMM five-level model, validated in 750 simulations, shows higher governance maturity cuts agent sprawl by 94% and risk incidents by 96% while raising task completion rates by 33%.
KYA provides a framework-agnostic trust layer using inbound pipelines, policy composition, unified trust scoring, interaction multipliers, and delegation attribution to ensure authorized, conforming, and verifiable actions in autonomous systems.
CUGA introduces a runtime governance architecture that enforces policies at five checkpoints in generalist agent execution pipelines for predictable and compliant behavior.
The EU AI Act narrows accountability for multi-agent AI in critical infrastructure by excluding safety components from key explanation and impact assessment rights, and the paper proposes AgentGov-SC, a three-layer architecture with 25 measures to address this through traceability to existing AI and
AI Trust OS is a proposed always-on operating layer that discovers undocumented AI systems via telemetry and produces continuous zero-trust compliance artifacts for regulations including ISO 42001, EU AI Act, SOC 2, GDPR, and HIPAA.
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Governing the Agentic Enterprise: A Governance Maturity Model for Managing AI Agent Sprawl in Business Operations
The AAGMM five-level model, validated in 750 simulations, shows higher governance maturity cuts agent sprawl by 94% and risk incidents by 96% while raising task completion rates by 33%.