All Changes
EU Regulatory Changes
782 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 paper, published on arXiv, presents a technical architecture for deploying confidential containers using ARM’s Confidential Compute Architecture (CCA). It proposes a method to run container wo...
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This publication, dated 25 May 2026, presents a new methodology for creating adversarial malware datasets, specifically designed to test the robustness of AI-based cybersecurity systems. The resear...
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This publication, titled "Semantic Validation of Packer Identification Tools," presents a technical analysis of software tools used to detect packed executables—a common technique used by malware t...
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A new preprint from arXiv, titled "Capability and Robustness Cannot Both Be Free," presents an information-theoretic bound for Vision-Language-Action (VLA) models, which are AI systems that combine...
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A new preprint from arXiv, titled "How Agentic AI Coding Assistants Become the Attacker's Shell," published on 25 May 2026, presents a significant security analysis of advanced AI coding assistants...
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This publication, a research paper from arXiv, does not represent a formal regulatory change but rather an empirical analysis of a critical security vulnerability pattern. The study examines over 1...
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This publication introduces a new consensus mechanism called Proof of Useful Attestation, designed for blockchain networks that prioritize verification of AI-generated content and data integrity. T...
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**Summary for Compliance Professionals**
A new research paper, TTPrint, has been published on arXiv proposing a method for extracting Tactics, Techniques, and Procedures (TTPs) from threat intelli...
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This publication, dated May 25, 2026, introduces a new category of cybersecurity vulnerability specifically targeting Network Intrusion Detection Systems (NIDS). The paper defines "host-space adver...
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This paper, published on arXiv, presents a new evaluation framework for assessing the vulnerability of machine learning models to membership inference attacks. These attacks attempt to determine wh...
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