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All Changes

EU Regulatory Changes

4273 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
Breach: RingCentral (1,596,490 accounts) — Email addresses, Names, Phone numbers
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...
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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...
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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 ...
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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 ...
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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 (...
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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...
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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 ...
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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...
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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...
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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...
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arXiv: Plaintext Recovery Against Post-Filtering Access Control
arXiv: Towards Scalable Fuzzy PSI via Efficient Fuzzy Matching
arXiv: Defending against Model Extraction for GNNs with Model Reprogramming
arXiv: Cross-Corpus Evaluation of Generalizable Vulnerability Detection in IoT Firmware
arXiv: A Runtime Decentralized Attestation and Coordinated Repair Framework for Securing Automotive ECUs
arXiv: The Next Challenge for Agentic Cybersecurity: A Realistic, Contamination-Free Reverse Engineering Benchmark
arXiv: When Agents Talk: Honeytokens under Shared Memory
arXiv: Analysis of Federated Aggregation under Model Poisoning and Backdoor Attacks: A Reconstructed Cross-Dataset an...
arXiv: A Study of Kernel Telemetry Options for Security-Oriented Provenance