EU Regulatory Changes

This publication, a pre-print research paper from arXiv, presents a novel machine learning technique called Chi-MERA designed to enhance the security of satellite authentication systems. It specifi...

This paper, published on arXiv, introduces a new technical framework called SFGA, or Statistics-First Gating Architecture with Adjudicative Escalation, designed to improve the trustworthiness of da...

This publication from July 2026 introduces a novel methodology for automatically detecting and tracking crypto money laundering by analyzing the semantic meaning of transactions, rather than just r...

This publication introduces a technical framework for preventing data leakage in agentic AI systems—autonomous software agents that can act on behalf of users. The paper proposes a method called "p...

This publication from arXiv, dated July 21, 2026, introduces a new algorithmic method for privately approximating graph spectra and cuts using spectral amplifiers. While the paper is a technical co...

This publication from arXiv, dated July 21, 2026, presents a new research paper on a novel security vulnerability termed "Cross-Agent Campaign Attribution." The paper demonstrates how attackers can...

This publication introduces GLID, a new method for detecting AI-generated or manipulated facial images, known as deepfakes. The research identifies a critical weakness in current face-forgery detec...

This paper, published on arXiv in July 2026, presents a diagnostic study evaluating the performance of small large language models (LLMs) on cybersecurity question-answering tasks. It introduces a ...

This publication from July 2026 introduces a novel framework for using large language models to map automotive cybersecurity vulnerabilities (CVEs) to specific attack trees (ATMs) within the automo...

This paper, published on arXiv, presents a critical security analysis of web bot defenses in the context of advanced Large Language Model (LLM) agents. The authors demonstrate that current state-of...