EU Regulatory Changes

A new academic paper, titled The Structured Totient Preimage Problem, has been published on arXiv, presenting a mathematical analysis of a potential weakness in number-theoretic functions used in c...

A new academic paper, published on arXiv, introduces SiNMULI, a novel machine learning framework that uses signed network analysis to identify malicious URLs. This is a research publication, not a ...

This publication introduces a new framework for detecting covert coordination among AI agents operating in latent, or hidden, communication channels. The research demonstrates that multiple AI syst...

This publication introduces FedGuard-DC, a new framework designed to enhance cybersecurity and operational privacy for data centers connected to transmission grids. It combines federated learning, ...

This publication introduces a research framework for using multi-agent artificial intelligence systems to automate cyber defense in connected vehicles, specifically targeting Vehicle-to-Everything ...

This publication, dated August 2026, presents a new algorithmic technique for improving quantum machine learning performance, specifically targeting the problem of learning parities under structure...

A new academic paper, titled "Malformer: A Multi-Modal Malware Detector Using Transformers," has been published on arXiv. This is not a regulatory rule or directive, but rather a technical research...

This publication introduces a novel method for automating the creation of Sigma detection rules, which are used in security information and event management systems to identify cyber threats. The a...

A new academic framework, published on arXiv, proposes a standardized 12-step process for conducting digital forensics on Industrial Internet of Things (IIoT) systems. While not a binding regulatio...

A new research paper, titled Catastrophic Learning: A New Attack Vector on Continual Learning Networks, has been published on arXiv. It identifies a previously unrecognized vulnerability in machine...