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AI_SAFETY

EU Regulatory Changes

1550 changes tracked across 24 compliance frameworks including DORA, NIS2, GDPR, EU AI Act, Cyber Resilience Act, and more.

All 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
arXiv: A Structuration Approach to Theorizing Cybersecurity Practice: The STARC Model
arXiv: Verifiable blind probabilistic error cancellation
arXiv: SignDeepSC: A Semantic Signature-based Approach for Robust Semantic Communication
arXiv: SkillGate: Cost Efficient Runtime Malicious Skill File Detection in Coding Agents
arXiv: Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Ex...
arXiv: There Will Be Spam: Characterizing State-Invariant Transactions and Speculative MEV
A new academic paper published on arXiv, titled "There Will Be Spam: Characterizing State-Invariant Transactions and Speculative MEV," analyzes a specific class of blockchain transactions that are ...
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arXiv: A Cybersecurity MLPS Large Language Model with Multi-Path Retrieval Fusion
This publication introduces a new technical framework called MLPS, which stands for Multi-Path Retrieval Fusion, designed to improve the security and reliability of large language models used in cy...
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arXiv: Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation
This publication, titled "Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation," is a research paper from arXiv, not a formal regulatory change. It proposes a n...
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arXiv: ContainmentBench: Trace-Based Evaluation of Post-Injection Containment in Tool-Using LLM Agents
A new research paper, ContainmentBench, has been published on arXiv that introduces a trace-based evaluation framework for assessing how well tool-using large language model (LLM) agents can contai...
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arXiv: Development of Vision-Language Model-based GNSS Spoofing Detection for Autonomous Vehicle Navigation
A new research paper published on arXiv proposes a method for detecting GNSS spoofing attacks in autonomous vehicles using a vision-language model. This is not a regulatory change itself, but it si...
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arXiv: Strategies for quantum-enabled Bitcoin miners
A new preprint from arXiv, titled "Strategies for quantum-enabled Bitcoin miners," has been published under the AI_SAFETY framework. This paper explores how quantum computing could be used to disru...
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arXiv: ADVERSARIAL: And-Inverter Graph-Assisted Hardware Trojan Detection At Scale
This publication, dated July 26, 2026, introduces a novel method for detecting hardware Trojans—malicious circuit modifications—using And-Inverter Graphs (AIGs) combined with adversarial machine le...
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arXiv: On a necessary condition for the matching cryptosystem stability
This paper, published on arXiv under the AI Safety framework, introduces a new mathematical condition for ensuring the stability of matching cryptosystems, which are algorithms used to pair users o...
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arXiv: TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Gene...
A new academic paper, TriShieldRAG, proposes a three-layer defense framework designed to protect Retrieval-Augmented Generation (RAG) systems from knowledge corruption, such as poisoned or manipula...
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arXiv: Bridging the Epistemic Gap in the Invisible Internet: Extended Mathematical Modeling and Empirical Characteriz...
arXiv: Denial of Deadline: Network-Driven Accuracy Collapse in Distributed Inference Pipelines
arXiv: Agentic Permissions Policy Algebra for Taint Confinement in LLM Agents
arXiv: Modeling Local Exploit Hazard - A Bayesian Framework for Quantifying Exploit Risk and Operational Efficiency
arXiv: TRACE-CTI: Auditable Post-Extraction Governance of TTP Claims with Knowledge Graphs
arXiv: BettiSplit: Topology-Guided Privacy-Aware Split Learning Against Feature Inversion and Gradient Leakage