AI_SAFETY
EU Regulatory Changes
1525 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 academic paper published on arXiv, titled "The Rise and Fall of Google's Privacy Sandbox," provides a critical retrospective analysis of Google's initiative to phase out third-party cookies i...
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This publication from arXiv, dated July 1, 2026, presents a technical paper detailing new hardware accelerators for Post-Quantum Cryptography (PQC). The paper describes a method to significantly sp...
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This publication, a pre-print from arXiv dated July 2026, presents a novel vulnerability in multimodal AI systems. It demonstrates that individual benign images, when processed together by a model,...
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This paper, published on arXiv, introduces a new technical framework called HARC, which addresses a critical vulnerability in large language models (LLMs). The research demonstrates that current sa...
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A new preprint from arXiv, published on July 1, 2026, presents research demonstrating that lightweight intrusion detection models used in Industrial Internet of Things (IIoT) networks suffer from s...
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This paper, published on arXiv, details a novel vulnerability in large language models (LLMs) that use function-calling capabilities. The research demonstrates that attackers can bypass safety guar...
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A new research paper titled "Minos: A Multi-Agent Collaborative Framework for Provenance-Based Backward Tracking" has been published on arXiv, proposing a technical framework for tracing the origin...
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A new research paper, KidnapRAG, published on arXiv, details a novel black-box attack targeting agentic Retrieval-Augmented Generation (RAG) systems. This attack demonstrates how malicious actors c...
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This publication from July 2026, titled "A Penny for Your Prompts," presents new research on detecting and mitigating the use of large language models (LLMs) by survey respondents. While not a regu...
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This publication is a systematic academic review, not a regulatory change. It surveys the security and privacy vulnerabilities of on-device AI systems, such as those running on smartphones, wearabl...
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