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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A vulnerability was discovered in ComfyUI-Easy-Use version 1.4.1 and earlier, which allows an unauthenticated attacker to execute arbitrary code when the application restarts. The vulnerability occurs when an attacker uploads a malicious Python file to ComfyUI's input directory and uses the save_preview() handler to overwrite an installed custom node's __init__.py file. This allows the attacker to execute code with the privileges of the ComfyUI process, potentially accessing sensitive data and credentials. To mitigate the vulnerability, developers should either remove the ComfyUI-Easy-Use extension or restrict network access to trusted users. A fix has been released in commit 8a0f2fc412, but the maintainer could not be reached to coordinate the vulnerability disclosure.
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A vulnerability, identified as CVE-2026-126995, affects tjake Jlama versions 0.8.4 and 0.9.0-beta. The issue arises in the SafeTensorIndex.loadWeights function in the SafeTensorIndex.java file, allowing an attacker to perform a path traversal through manipulation of the weightmap argument. This vulnerability can be exploited remotely, with a public exploit available. The affected project has been notified of the issue but has yet to respond.
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A vulnerability (CVE-2026-126995) was discovered in tjake Jlama versions 0.8.4 and 0.9.0-beta, affecting the SafeTensorIndex.loadWeights function in SafeTensorIndex.java. The issue allows for path traversal via manipulation of the weightmap argument, enabling remote attacks. An exploit is publicly available, and the project has been notified but has not yet responded. This vulnerability matters to developers and operators of AI agents, as it may allow unauthorized access to sensitive data, compromising model integrity and potentially leading to data breaches or model tampering.
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A vulnerability (CVE-2026-126995) was discovered in tjake Jlama versions up to 0.8.4 and 0.9.0-beta affecting the SafeTensorIndex.loadWeights function in SafeTensorIndex.java. The vulnerability allows for path traversal via manipulation of the weightmap argument, making it susceptible to remote attacks. An exploit has been publicly disclosed and the project has not yet responded to an early issue report. This vulnerability matters to people building or operating AI agents using tjake Jlama as it may allow unauthorized access to sensitive data or system resources.
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