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

EU Regulatory Changes

1476 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: ATOBench: Tracing How Autonomous Penetration-Testing Agents Verify Vulnerabilities When Target Evidence Lies
arXiv: Understanding Backdoor Vulnerabilities in Vertical Federated Learning: The Gap Between Research and Practice
arXiv: Technical Report on Resilient and Secure Large-Scale Energy Internet Systems
arXiv: Beyond Visual Evidence: Revealing and Mitigating Relational Privacy Leakage in Document MLLMs
arXiv: Adversarial Robustness in Smishing Detection: A Comparative Analysis of Adversarial Fragility in Classical vs....
arXiv: Labels Are Not Endpoints: Treatment Leakage and Construct Validity in MCP Agent Security Evaluation
arXiv: Discovering Persistent Behavioural Patterns for Interpretable Blockchain Forensics
arXiv: Dissecting Software Graphs: Structural Insights for Driver-Guided Fuzzing
arXiv: Machine Learning-Based Cyber Defense for Cloud Infrastructure: An Adaptive Deep Q-Network Architecture for Int...
The publication introduces a research paper proposing an adaptive Deep Q-Network architecture for intrusion detection and automated threat mitigation in cloud environments. This is not a new regula...
Read analysis →
arXiv: A Comparison of Malware Image Transformations Using Grad-CAM and Hybrid Learning Models
This publication, dated August 2026, presents a technical study on using Grad-CAM visualization and hybrid learning models to improve malware detection through image-based analysis. It does not int...
Read analysis →
arXiv: Slips: Behavioral Evidence Aggregation for Network Security
The publication introduces a new technical framework, Slips, designed to aggregate behavioral evidence for network security. While not a regulatory mandate, it represents a significant advancement ...
Read analysis →
arXiv: Rank-Two Frobenius-Linearized Normal Forms and Orthoderivative Dual Coordinates in Quadratic APN Maps
A new mathematical paper has been published on arXiv, titled "Rank-Two Frobenius-Linearized Normal Forms and Orthoderivative Dual Coordinates in Quadratic APN Maps." This is a theoretical research ...
Read analysis →
arXiv: ToolHazard: Scaling Adversarial Environments for Security Evaluation and Alignment of LLM-based Agents
A new research paper, ToolHazard, has been published on arXiv, introducing a framework for creating large-scale adversarial environments to test the security and alignment of large language model (...
Read analysis →
arXiv: How China-Origin Vision-Language Models Move from Refusal to Reframing in State Alignment
A new research paper, published on arXiv, examines how Chinese-origin vision-language models (VLMs) are designed to shift from outright refusal of sensitive prompts to a strategy of "reframing" res...
Read analysis →
arXiv: Towards Model-based Run-time Cybersecurity: On Control-Flow Anomaly Detection, Attack Identification, and Hard...
This publication introduces a novel framework for run-time cybersecurity in AI systems, focusing on control-flow anomaly detection and hardware-level monitoring. It proposes a model-based approach ...
Read analysis →
arXiv: AmbSentry: Mitigating Sensing Eavesdropping in ISAC Systems by Harnessing Ambient IoT Devices
A new technical paper, AmbSentry, proposes a method to reduce the risk of sensing eavesdropping in Integrated Sensing and Communication (ISAC) systems by using ambient Internet of Things (IoT) devi...
Read analysis →
arXiv: Instruction Alignment for Binary Code Representation Learning
A new academic paper, titled Instruction Alignment for Binary Code Representation Learning, has been published on arXiv. The research proposes a method to improve how machine learning models unders...
Read analysis →
arXiv: Fingerprinting Text-to-Image Diffusion Models via Collapsed Generation
A new academic paper, published on arXiv, introduces a technique for fingerprinting text-to-image diffusion models by exploiting a phenomenon called collapsed generation. This method can identify w...
Read analysis →
arXiv: Plaintext Recovery Against Post-Filtering Access Control
arXiv: Towards Scalable Fuzzy PSI via Efficient Fuzzy Matching