All Changes
EU Regulatory Changes
782 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
A new ransomware incident has been publicly reported involving the Italian business services company BASE SPA. The attack was claimed by the threat group known as Spacebears and published on the ra...
Read analysis →
This publication, titled "Shortest Path Problem with Subnormal Gaussian Fuzzy Costs," is a theoretical computer science paper from arXiv, not a regulatory change. It proposes a new mathematical mod...
Read analysis →
This publication introduces a novel methodology for prioritizing cybersecurity alerts generated by Intrusion Detection Systems (IDS) using a mathematical approach called Subnormal Gaussian Fuzzy Mo...
Read analysis →
This publication, titled Landseer: Exploring the Machine Learning Defense Landscape, is a technical research paper from arXiv that maps current adversarial attack and defense methods for machine le...
Read analysis →
A new preprint from arXiv, titled "Do Modern Post-Hoc Watermarking Methods Beat Broken-Arrows?" published on May 26, 2026, evaluates the robustness of current AI-generated content watermarking tech...
Read analysis →
This paper, published on arXiv, introduces BAIT, a new technical framework for improving the safety of large language models (AI systems). BAIT stands for Boundary-Guided Disclosure Escalation via ...
Read analysis →
This paper, published on arXiv, presents research on a hidden cost associated with a specific technique used to make large language models (LLMs) forget or "unlearn" problematic data, such as copyr...
Read analysis →
A new research paper, "Lessons from Penetration Tests on Large-Scale Agent Systems," has been published on arXiv, detailing systematic security vulnerabilities found in autonomous AI agent systems....
Read analysis →
This paper, published on arXiv, presents a new evaluation framework for detecting prompt injection attacks against large language models. The key finding is that no single detection method works un...
Read analysis →