EU Regulatory Changes

A new academic paper published on arXiv, titled "When Binaries Talk Back: Representation-Confusion Attacks on LLM-Assisted Reverse Engineering," identifies a novel security vulnerability in large l...

This publication from July 2026 presents a security analysis of Post-Quantum Cryptography (PQC) integration within the TLS protocol, specifically identifying two novel attack vectors: handshake exh...

A new research paper published on arXiv, titled "Trust but Verify? Uncovering the Security Debt of Autonomous Coding Agents," presents empirical evidence that AI-powered coding agents introduce sig...

This publication introduces a technical framework called Policy-Conditioned Constrained Decoding, designed to enforce column-level access control in text-to-SQL systems. The paper proposes a method...

This paper, published on arXiv, presents a large-scale study demonstrating that large language model agents frequently recommend skills or actions that do not actually exist in the real world, a ph...

This publication from arXiv presents a new methodology called Antiproof, which automates the generation of both vulnerability detectors and proofs of exploitability for AI systems. The research dem...

This publication, titled P3CDA, presents a new cryptographic framework designed to secure cross-domain authentication for Internet of Drones operations. It proposes a privacy-preserving and provabl...

This publication introduces a new framework for explaining the decisions made by deep learning-based network intrusion detection systems (NIDS) to security analysts. While not a regulatory change i...

This paper, published on arXiv, proposes a new technical framework for evaluating whether frontier AI models pose an unacceptable risk of being used to create chemical, biological, radiological, or...

This publication introduces MTD-Playground, a new evaluation framework designed to test the effectiveness of network moving target defense mechanisms against intelligent attackers. Moving target de...