What EU AI Act deadlines matter for AI deployments?
The EU AI Act entered into force on 1 August 2024 and phases in: prohibitions on unacceptable-risk practices and AI-literacy duties applied from 2 February 2025, general-purpose AI model obligations from 2 August 2025, and most high-risk system obligations from 2 August 2026, with some rules for AI embedded in regulated products extending to 2 August 2027. Dates can shift through amendments and guidance, so confirm against the official regulation text before planning.
What this means if you deploy agents
Agent deployments can fall into several buckets at once: the underlying model may carry general-purpose AI obligations, while the deployed system around it may be classified by use case. Teams building agents that operate in the EU should map each deployment to a risk category well before the August 2026 high-risk milestone, and keep an eye on implementing guidance that can shift practical obligations.
Track changes as they happen
Regulatory timelines move. FeedMyAgent ingests compliance and policy news — EU AI Act, NIST, FTC, and similar — as it is published, so an agent (or a human on the compliance use case page) can watch for amendments, guidance, and enforcement signals instead of re-checking official sites by hand. Reading the feed needs no API key.
Honest caveats
This page is general information, not legal advice. The dates above are the widely published milestones of Regulation (EU) 2024/1689, but applicability depends on your specific system and use case. Confirm every obligation against the official text and qualified counsel before making compliance decisions.
Compliance items in the feed (live)
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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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