AI_SAFETY
EU Regulatory Changes
571 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
This document is not a regulatory change but a research paper proposing a new cyber wargame framework called MARCIM-WG, published on arXiv. It uses mathematical modeling to simulate cyber attacks a...
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This publication, titled ECYSAP EYE, presents a research framework for integrating cyber situational awareness with mission-centric decision support, specifically aimed at enhancing cyberspace oper...
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As a senior EU regulatory compliance analyst, I summarize the following regulatory-relevant publication for compliance professionals.
This paper, OCELOT, introduces a new framework for measuring a...
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A new technical paper published on arXiv proposes a five-plane reference architecture for runtime governance of production AI agents, titled A Five-Plane Reference Architecture for Runtime Governan...
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This paper, published on arXiv under the AI Safety framework, introduces a new technical criterion called "accumulability" for evaluating the integrity of information retrieval from large language ...
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arXiv: Partitioned Tags, Shared Data: Reconciling Strict Cache Isolation with Write-Shared Coherence
This publication from arXiv, dated June 10, 2026, presents a novel hardware architecture approach titled "Partitioned Tags, Shared Data." It proposes a method to reconcile strict cache isolation wi...
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This publication presents a research paper demonstrating that reinforcement learning (RL) can effectively circumvent standard gradient-based adversarial attacks used to test AI system robustness. T...
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arXiv: Bridging the Smart City Cybersecurity Data Gap Through AI-Driven Synthetic Dataset Generation
This paper, published on arXiv on June 10, 2026, proposes a novel AI-driven framework for generating synthetic datasets to address critical data-sharing gaps in smart city cybersecurity. The author...
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A new empirical study published on arXiv, titled "Mind your key: An Empirical Study of LLM API Credential Leakage in iOS Apps," reveals a systemic vulnerability in mobile applications that integrat...
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This publication introduces a new methodology for assessing the categorical robustness of machine learning models used in network intrusion detection systems. It proposes a framework that evaluates...
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