EU Regulatory Changes

This publication presents an empirical evaluation of large language models (LLMs) for automatically migrating existing code fragments to post-quantum cryptography (PQC) algorithms. The study assess...

This paper, published on arXiv, introduces a novel technical method called Manifold Trajectory Kinetics designed to defend large language models against "jailbreak" attacks—prompts that trick AI sy...

This document is a research paper proposing a new cryptographic method for cloud storage, not a formal regulatory change. It introduces an "Authorized and Verifiable Searchable Encryption" scheme b...

This publication, dated June 5, 2026, presents a novel framework for intrusion detection in Internet of Things (IoT) networks. The core change is a proposed methodology that moves beyond traditiona...

This publication from arXiv presents a theoretical analysis of the capacity limits for information-theoretic secure aggregation in federated learning. It does not introduce a new regulation or bind...

This publication from June 2026 presents a large-scale study on the re-identification risk of speech anonymization techniques, specifically analyzing how well current methods protect individual spe...

A new preprint from arXiv, titled "Synthetic APTs: the Collapse of TTP-Based Attribution," published on June 5, 2026, presents a significant challenge to existing cybersecurity threat intelligence ...

This paper, published on arXiv under the AI_SAFETY framework, presents a novel analysis of communication-graph metadata risks in autonomous agent systems. It argues that current privacy and safety ...

A new research paper, MalSkillBench, has been published on arXiv, presenting a benchmark designed to evaluate the capabilities of AI agents in performing malicious cyber tasks. The framework system...

This paper, published on arXiv, introduces TRACE, a new reasoning framework for large language model agents. TRACE improves how AI systems handle complex, multi-step tasks by aggregating evidence a...