EU Regulatory Changes

This paper, published on arXiv, is not a regulatory change but a research study that identifies a critical supply chain security vulnerability in small office/home office (SOHO) networking devices....

This paper, published on arXiv, introduces OpenPCC, a technical framework for running large language models (LLMs) on commodity Trusted Execution Environments (TEEs) while maintaining both performa...

This publication is a research paper from arXiv, not a regulatory change, but it provides critical empirical evidence that should inform AI safety compliance frameworks. The study analyzes a longit...

This publication is a research paper, not a regulatory change, but it has significant implications for compliance professionals overseeing AI-driven cybersecurity systems under frameworks like the ...

This paper, published on arXiv, models a new systemic risk: AI systems can discover software vulnerabilities far faster than humans or traditional tools can patch them. It demonstrates that in inte...

This document, published on arXiv, is a practical guide titled "Understanding and mitigating the risks of OpenClaw for non-technical users." It introduces a new risk framework, AI_SAFETY, specifica...

This publication, a research paper from arXiv, presents a new vulnerability analysis of AI code generators. It demonstrates that these systems can be manipulated through context-based adversarial a...

This paper, published on arXiv, presents a technical analysis of deepfake speech detectors, revealing that these systems often rely on superficial acoustic artifacts—such as background noise or rec...

This publication from arXiv, dated June 2026, presents a critical analysis of the ethical and technical limitations inherent in current deepfake speech datasets used to train AI systems. While not ...

This publication from arXiv presents a new AI training method called Reference-Augmented Training, or RAT, designed to improve the security of automatic speaker verification systems against spoofin...