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AI_SAFETY

EU Regulatory Changes

1525 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: Regime-Conditional Verification: Correctness Estimation for Adapting and Monitoring Safety Classifiers
arXiv: Structural Leakage in Graph Encryption: Attacks and Defenses
arXiv: Vectorized SQIsign Implementation Using AVX-512
arXiv: Extracting and Verifying Illicit Bitcoin Addresses from Underground Forum Discussions
arXiv: CoSA: Context-Aware Severity Assessment via Context Analysis with Large Language Models
arXiv: Characterizing the Variance Envelope: A Multi-Dimensional Analysis of Spectre Telemetry Across Architectures a...
arXiv: CipherSight: Robust Website Fingerprinting via Record-Resource Semantic Supervision under Distribution Shifts
arXiv: Verified Pythagorean Composition for Adaptive Cryptographic Games: Noise Flooding in Homomorphic Encryption
arXiv: TLF: Rapid Characterization of RF Transceiver Parameters in Embedded Systems via Bus-Level Interception
arXiv: Vaulted Passkeys: A Device-Bound Proposal for Authenticated Credential Export and Import
arXiv: Mobile Apps vs. Web Browsers: A User Perception Study with Android Apps and Google Chrome
arXiv: The ack3 H1 2026 DeFi Incident Dataset: Audit Scope Across 135 Security Incidents
arXiv: A Reproducibility Protocol for Cross-Implementation Evaluation of Post-Quantum ACVP Test Vectors
arXiv: Concept Drift Detection and Adaptive Retraining of Malware Classification Models
The publication introduces a technical framework for detecting concept drift in malware classification models and implementing adaptive retraining to maintain their effectiveness over time. Concept...
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arXiv: LLM-Assisted Dynamic Threat Analysis for Attacker-Reachable Software Weaknesses in Autonomous Vehicles
A new research paper proposes a method for using large language models to perform dynamic threat analysis on autonomous vehicle software, specifically targeting weaknesses that an attacker could ac...
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arXiv: Does Fixing Break Security? An Empirical Study of Security Degradation in Iterative LLM-Driven Infrastructure-...
This publication, dated August 2026, is a research paper from arXiv, not a binding regulation. It presents an empirical study on how iterative, LLM-driven repairs of Infrastructure-as-Code (IaC) ca...
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arXiv: TeleGapper: On the (un)reliability of Privacy Policies in Telegram Mini apps
A new academic study, TeleGapper, has been published on arXiv examining the reliability of privacy policies within Telegram Mini Apps. The research finds that many of these apps, which operate insi...
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arXiv: TopoIntent: Compiling Security Intent into Executable, Compliance-Checked Network Topologies
The publication introduces TopoIntent, a technical framework that translates high-level security requirements into executable network topologies while automatically checking them against compliance...
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arXiv: VR-Themis: A Scalable Framework for Virtual Reality Application Clone Detection
The publication introduces VR-Themis, a scalable technical framework designed to detect cloned or counterfeit virtual reality applications. This is a research paper, not a new regulation, but it si...
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arXiv: Sovereign by necessity? Frontier AI export controls, cyber security, and the limits of national AI capability
This paper, published on arXiv, analyzes the intersection of frontier AI export controls, cyber security, and national AI capability. It argues that current export control regimes, which restrict a...
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