Currently free during beta - premium features coming soon. Subscribe now to lock in early access.
All Changes

EU Regulatory Changes

4608 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
CVE-2026-58123 (CVSS 9.8) — Hermes WebUI before 0.51.788 contains an unauthenticated remote code execution vulnerabil...
CVE-2026-14894 (CVSS 9.8) — The Super Forms – Drag & Drop Form Builder plugin for WordPress is vulnerable to Arbitrar...
arXiv: Reason Less, Verify More: Deterministic Gates Recover a Silent Policy-Violation Failure Mode in Tool-Using LLM...
This publication from July 2026 presents a research paper identifying a critical failure mode in large language model (LLM) agents that use external tools, such as code interpreters or APIs. The au...
Read analysis →
arXiv: zk-ScalHard: Scalable and Hardware-Rooted Privacy-Preserving Authentication for Secure OTA Updates in Zonal SDVs
This publication from July 2026 introduces a new cryptographic framework called zk-ScalHard, designed to enable privacy-preserving authentication for over-the-air (OTA) software updates in zonal so...
Read analysis →
arXiv: The AI Resilience Gap: Bringing Artificial Intelligence Inside the Operational Resilience Perimeter
This paper, published on arXiv in July 2026, argues that current regulatory frameworks, including the EU’s Digital Operational Resilience Act (DORA), do not adequately address the unique risks pose...
Read analysis →
arXiv: FedCVESA: Taking Away Training Data in Federated Learning via Correlation Value Encoding and Segmented Aggrega...
This paper, published on arXiv, proposes a new technique called FedCVESA that allows attackers to reconstruct training data from federated learning models with high accuracy. Federated learning is ...
Read analysis →
arXiv: Safe2Hail: A Forensic-Driven Post-Trip Tracking Framework for Ride-Hailing Safety in Africa
A new research paper titled Safe2Hail proposes a forensic-driven post-trip tracking framework specifically designed to improve ride-hailing safety in African contexts. While not a regulatory change...
Read analysis →
arXiv: MoLIFE: Methodology, Technologies, and Challenges for Mobile Live Intelligent Forensics Examination
This publication, MoLIFE, presents a new framework for conducting live forensic examinations of mobile devices, with a specific focus on artificial intelligence safety. It outlines methodologies an...
Read analysis →
arXiv: Monitoring Vulnerabilities in Next-Generation Automotive Operating Systems
This publication from arXiv, dated July 2026, presents a technical analysis of security vulnerabilities specific to next-generation automotive operating systems, particularly those integrating adva...
Read analysis →
arXiv: Finding and Understanding Miscompilation Bugs in the Solidity Compiler
A new academic paper published on arXiv, titled "Finding and Understanding Miscompilation Bugs in the Solidity Compiler," presents a systematic analysis of bugs in the Solidity compiler, which is t...
Read analysis →
arXiv: Continual Learning With Participation Privacy: An Auditable Buffering-Aggregation Recipe
This publication from arXiv introduces a novel technical framework called the Auditable Buffering-Aggregation Recipe, designed to enable continual learning in AI systems while preserving participat...
Read analysis →
arXiv: Evaluating Endpoint Detection Robustness Against Genetic Algorithm Driven Code Transformations
This publication from July 2026 presents a research paper demonstrating how genetic algorithms can automatically generate code transformations that evade endpoint detection and response systems. Th...
Read analysis →
arXiv: Certifying Ghosts: How Cybersecurity AI Agents Break the EU Cyber Resilience Act
arXiv: Operational Reframing and Approval-Framed Delegation in Multi-Agent LLM Safety
arXiv: Is Randomness Necessary for Adaptive Data Analysis?
arXiv: Cyber Dynamics I: Finite Macrostates for Behavioral Anomaly Detection in Network Telemetry
arXiv: Modeling Failure Dynamics in Time-Constrained Authentication Systems: Evidence of a Success Cliff in USSD Work...
arXiv: Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning...
arXiv: Embedded Blockchain Infrastructure Management (eBIM): A RISC-V-Empowered Hardware--Software Co-Design Framewor...
arXiv: NARAD: Non-colluding Aggregator-oblivious Record-And-Decrypt