arXiv AI
Jul 7
CAGE-1: Control, Assurance, and Governance Evaluation for Enterprise Agentic AI
arXiv:2607. 03510v1 Announce Type: cross Abstract: Enterprise artificial intelligence is moving from experimentation into operational workflows.
AGL-1: The Enterprise AI Governance Layer as a Control Plane for Trusted Enterprise Intelligence
arXiv:2607. 03516v1 Announce Type: cross Abstract: Enterprise artificial intelligence is moving from isolated experimentation toward operational dependency across copilots, retrieval-augmented generation systems, autonomous agents, and AI-enabled business workflows.
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arXiv AI
Jun 11
A Five-Plane Reference Architecture for Runtime Governance of Production AI Agents
arXiv:2606. 12320v1 Announce Type: new Abstract: Enterprise security was built to govern data boundaries: the protected surface was data at rest and in transit, and the controls -- access control, data-loss prevention, perimeter inspection -- governed crossings of that boundary.
arXiv AI
Aug 12
The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI
arXiv:2608. 10153v1 Announce Type: new Abstract: Enterprises are deploying autonomous AI agents faster than they can govern them, and prevailing approaches stretch a single discipline, typically DevSecOps built for deterministic automation, across every scale of agency.
arXiv AI
Jun 8
The Three-Ring Architecture: Governing Agents in the Era of On-Platform Organisations
arXiv:2606. 07119v1 Announce Type: cross Abstract: The current phase of enterprise AI deployment faces a structural failure: organisations are acquiring agentic capability without the infrastructure to govern it.
arXiv AI
Jul 16
Final Authority in AI Governance: Frontier-Provider Sovereignty and Action-Centered Deployer Governance
arXiv:2607. 13040v1 Announce Type: cross Abstract: This paper examines where final authority should sit once capable AI systems are embedded in organizational workflows.
arXiv AI
Jul 3
Behavioral Governance for Autonomous AI Agents: The AgentBound Framework
arXiv:2606. 30970v2 Announce Type: replace Abstract: Autonomous AI agents increasingly perform consequential actions on behalf of human principals, including financial transactions, external communications, and enterprise workflows.
arXiv AI
Jul 1
AgentBound: Verifiable Behavioral Governance for Autonomous AI Agents
arXiv:2606. 30970v1 Announce Type: new Abstract: Autonomous AI agents increasingly perform consequential actions on behalf of human principals, including financial transactions, external communications, and enterprise workflows.
arXiv AI
Jul 28
Separating Capability from Permission: A Governance Framework for Agentic AI Autonomy Levels
arXiv:2607. 23438v1 Announce Type: new Abstract: As AI systems increasingly exhibit agentic behavior, discussions of autonomy often conflate what systems are technically capable of doing with what they should be permitted to do in practice.
arXiv AI
Aug 5
Enactive Artificial Intelligence: A Decision-Centric Architecture for Complex Systems
arXiv:2608. 03413v1 Announce Type: new Abstract: As artificial intelligence (AI) continues to evolve and mature, recent AI practices have moved beyond large language models (LLMs) and text or image generation tasks, increasingly integrating tools, agents, and harnesses to solve real business and industrial problems.
arXiv AI
Jul 15
Agentic Service-Oriented Computing: A Manifesto for the Next Frontier of Service-Oriented Computing
arXiv:2607. 12619v1 Announce Type: new Abstract: The rapid emergence of LLM-powered autonomous and semi-autonomous agents is reshaping software systems from static, request-response components into goal-directed, adaptive, and tool-using computational actors.
arXiv AI
1d ago
A Policy Algebra for Trust-Preserving Agentic AI Execution
arXiv:2608. 16402v1 Announce Type: new Abstract: Large language model-based agentic frameworks primarily optimize capability: whether an agent can reason, retrieve information, call tools, delegate work, and complete a goal.
arXiv AI
Jul 17
Traccia: An OpenTelemetry-Based Governance Platform for AI Systems
arXiv:2607. 14309v1 Announce Type: new Abstract: The rapid development of Large Language Models (LLMs) and Artificial Intelligent (AI) powered autonomous agents has fundamentally changed the existing forms of software governance.