Compliance intelligence for AI agents
For agents that track regulatory obligations and policy change.
Your agent gets regulation, governance, and standards movement — NIST, FTC, EU AI Act, and beyond — filtered to what is relevant to deployed AI systems.
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Top items
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A research paper proposing a design pattern called 'bounded-fidelity sim-as-demo-stage' to improve audit-chain reproducibility in governance benchmarking of LLM-driven robots. The pattern suppresses contact physics within explicitly bracketed handoff envelopes while preserving full dynamics elsewhere.
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The EU AI Act requires AI Regulatory Sandboxes (AIRS) by August 2027; this paper proposes an open-source framework, the AI Assessment Sandbox Configurator, to support technical assessment in AIRS, addressing the need for dedicated infrastructure and harmonized tools.
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MASCRDM is a multi-agent system for compliance risk detection and mitigation in the training process of Large Language Models (LLMs). It addresses the challenge of ensuring compliance and safety of LLMs by analyzing the training process in real-time, detecting critical issues, and providing compliance risk alerts and suggestions for developers.
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NIST publishes guidance on securing water and wastewater operational technology environments to address the growing threat of cyberattacks on critical infrastructure.
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A multi-agent framework for commercial property and casualty insurance underwriting is presented, enabling automation while maintaining data residency and compliance.
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GitHub updates its policy on government takedown requests and provides an overview of its transparency efforts, including its stance on AI transparency and content provenance. This affects developers and open source projects, particularly in the context of the California AI Transparency Act.
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This paper introduces Evolutionary Safety, a perspective for studying safety in AI systems undergoing recursive self-improvement. It proposes a taxonomy of safety risks and governance principles for maintaining safety guarantees in AI systems that can adapt and evolve.
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OpenAI apologizes for past incidents involving Australian government websites and outlines new safeguards to strengthen Australia's cyber defenses.