AI_SAFETY
EU Regulatory Changes
692 changes tracked across 24 compliance frameworks including DORA, NIS2, GDPR, EU AI Act, Cyber Resilience Act, and more.
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DORA NIS2 GDPR CSRD MaRisk ISO27001 EU_AI_ACT CRA DSA DMA eIDAS2 SOC2 PCI_DSS HIPAA ISO42001 AMLD6 PSD3 DATA_ACT GPSR CER EUDR CVE BREACH AI_SAFETY
A new preprint published on arXiv proposes a framework called GTI-mSEMP, which models how malware could be deliberately stimulated to spread more effectively by incorporating attacker and defender ...
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This paper, ToolPrivacyBench, introduces a new benchmarking framework designed to evaluate how well large language model agents protect user privacy when using external tools. It specifically tests...
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This paper, published on arXiv, presents a novel measurement study of non-interactive SSH attacks against honeypots, which are decoy systems used to detect cyber threats. The research reveals that ...
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This publication introduces a novel cryptographic protocol for quantum multi-party threshold private set intersection with explicit cardinality testing. It enables multiple parties to compute the s...
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This publication introduces a new cryptographic protocol for multi-party quantum private set operations, enabling multiple parties to compute intersections or unions of private datasets without rev...
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This publication introduces AdvancedShelLM, a novel AI-driven honeypot system that uses multiple large language model agents to simulate realistic, interactive SSH sessions for cybersecurity decept...
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This paper, published on arXiv, introduces a new technical method called SHARD (cell-keyed residual splitting) designed to enable private dense retrieval of information from large language models w...
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This publication, a research paper from arXiv, does not represent a formal regulatory change but rather a significant technical analysis relevant to AI safety and cybersecurity compliance. The pape...
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This is a mathematical research paper published on arXiv, not a regulatory change. It does not originate from any EU regulatory body or standard-setting organization. The title, "Transversal Differ...
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This paper, published on arXiv, presents a new research finding that agentic AI systems can now re-identify individuals from anonymized mobility microdata—such as location traces from mobile phones...
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