Currently free during beta - premium features coming soon. Subscribe now to lock in early access.
AI_SAFETY

EU Regulatory Changes

1501 changes tracked across 24 compliance frameworks including DORA, NIS2, GDPR, EU AI Act, Cyber Resilience Act, and more.

All DORA NIS2 GDPR CSRD MaRisk ISO27001 EU_AI_ACT CRA DSA DMA eIDAS2 SOC2 PCI_DSS HIPAA ISO42001 AMLD6 PSD3 DATA_ACT GPSR CER EUDR CVE BREACH AI_SAFETY
arXiv: Detection, Attribution, Narration: An End-to-End Pipeline for Explainable Money Mule Identification
A new research paper published on arXiv proposes an end-to-end pipeline for detecting, attributing, and narrating money mule activities using explainable AI. The framework, titled "Detection, Attri...
Read analysis →
arXiv: Quantum-Resilient Banking Transaction Security using DW-HKEM: A Hybrid RSA/ML-KEM Cryptographic Gateway with R...
arXiv: (A)iSpy: Parasitic Trojans for Machine Learning Infrastructure
arXiv: Salience Induction against Multi-Hop RAG Agents: Threat and Defense
arXiv: Isolation Failure From Shared Storage: Characterizing and Exploiting Page-Cache SCA Leakage Across Containers ...
arXiv: ShadowPickle: Evading Machine Learning Model Scanners via Stealthy Pickle Deserialization Attacks
arXiv: The Duality of Information Flow: Reconciling Robust Downgrading with Non-Interference
arXiv: Measuring and Evaluating the Performance of Generative AI Models for Scam Detection
arXiv: Physical Time-Lock Puzzles
arXiv: Learning-Driven Adaptive Audit Scheduling: A Sequential Decision Approach to Off-Chain Data Integrity
arXiv: Between Safe Boundaries: Exploiting Temporal Consistency for Jailbreaking Text-To-Video Generation Models
arXiv: SpexPay: A Privacy-Preserving Pay-As-You-Go System for Dynamic Spectrum Sharing
arXiv: Hardware Robustness of Sample-Based Quantum Diagonalization
arXiv: RRAM-DP: Device-Calibrated Differential Privacy for In-Memory Edge Learning
arXiv: CutBackdoor: A Circuit Cut Triggered Backdoor Attack on Variational Quantum Algorithms
arXiv: GARAGE: Characterizing the Automation Boundary in LLM-based Attack Graph Generation
arXiv: On the Impact of Entropy-based Features
This publication from arXiv, dated July 16, 2026, presents a technical paper analyzing how entropy-based features can be used to improve the detection and mitigation of unsafe outputs from AI syste...
Read analysis →
arXiv: Beyond Success Rate: Cost-Aware Evaluation of Offensive and Defensive Security Agents
This paper, published on arXiv, introduces a new evaluation framework for AI agents used in cybersecurity, specifically for offensive and defensive operations. It argues that traditional metrics li...
Read analysis →
arXiv: Evaluating Open-Weight LLMs for Generating Structured Threat Information for Autonomous Vehicle Vulnerabilities
This publication from arXiv presents a research study evaluating the ability of open-weight large language models to generate structured threat information specifically targeting vulnerabilities in...
Read analysis →
arXiv: DoSQ: A Cross-Layer Denial of Service Quality Attack by Exploiting Side Channels in 5G NR
A new academic paper published on arXiv, titled "DoSQ: A Cross-Layer Denial of Service Quality Attack by Exploiting Side Channels in 5G NR," presents a novel cybersecurity vulnerability affecting 5...
Read analysis →