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All Changes

EU Regulatory Changes

1817 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
CVE-2026-25550 (CVSS 9.8) — Seagull Software BarTender 2010, 2016, and 2019 contain an unauthenticated remote code ex...
CVE-2026-48567 (CVSS 10.0) — Authentication bypass by spoofing in Azure HorizonDB allows an unauthorized attacker to ...
CVE-2026-48579 (CVSS 9.1) — Improper authorization in Microsoft Exchange Online allows an unauthorized attacker to di...
arXiv: What If Prompt Injection Never Left? Exploring Cross-Session Stored Prompt Injection in Agentic Systems
This publication, a research paper from arXiv, identifies a new vulnerability in AI agentic systems called cross-session stored prompt injection. Unlike traditional prompt injection attacks that oc...
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Ransomware: krybit claims www.elumax.com (DE) — Business Services
On 3 June 2026, a ransomware incident involving the group "krybit" was publicly reported on the ransomware.live platform, claiming to have compromised www.elumax.com, a German business services fir...
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arXiv: Preserving Data Privacy in Learning Causal Structure with Fully Homomorphic Encryption
A new research paper published on arXiv proposes a method for learning causal structures from data while preserving privacy using Fully Homomorphic Encryption (FHE). This technique allows organizat...
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arXiv: A-Live: Passive Liveness Detection via Neuromuscular Micro-Motion Signatures on Commodity Sensors
This paper, published on arXiv, introduces a novel passive liveness detection method called A-Live, which uses commodity sensors to identify neuromuscular micro-motion signatures. This technology c...
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arXiv: Bernoulli CUSUM and Bayes-Optimal Detection Ceilings for Trust Fraud in Sparse Rating Networks
This paper, published on arXiv, introduces a new statistical method for detecting fraudulent trust ratings in online platforms, specifically designed for sparse data environments where users have f...
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arXiv: Attention-Augmented LSTMs for Automatic Homophonic Ciphertext Decipherment
This publication, dated June 3, 2026, presents a novel machine learning architecture that combines attention mechanisms with Long Short-Term Memory networks to automatically decipher homophonic cip...
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arXiv: SharedRequest: Privacy-Preserving Model-Agnostic Inference for Large Language Models
This publication, SharedRequest: Privacy-Preserving Model-Agnostic Inference for Large Language Models, introduces a novel cryptographic protocol designed to allow multiple parties to query a large...
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arXiv: From Agent Traces to Trust: Evidence Tracing and Execution Provenance in LLM Agents
This paper, published on arXiv, introduces a technical framework called "Evidence Tracing and Execution Provenance" for Large Language Model (LLM) agents. It proposes methods to systematically reco...
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arXiv: NLLog: Lightweight, Explainable SOC Anomaly Detection via Log-to-Language Rewriting
A new research paper, NLLog, has been published on arXiv proposing a method for anomaly detection in Security Operations Centers (SOCs) that converts raw system logs into natural language descripti...
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arXiv: Sequential Data Poisoning in LLM Post-Training
This paper, published on arXiv, presents a new research finding on a vulnerability in large language models (LLMs) during the post-training phase. It demonstrates a method of sequential data poison...
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arXiv: TeeDAO: A Decentralized Autonomous Organization for Heterogeneous TEEs
arXiv: CLIF: Cross-layer LEO-ISL Fingerprinting for Physical and Network Attack Detection in Dense LEO Constellations
arXiv: DIST-FL: Enhancing Security for TEE-based Aggregation in Federated Learning
arXiv: ODYSSEY: Reestablishing Confidentiality in Confidential Blockchain via Delegated Execution
arXiv: The Usefulness Gap in Proof-of-Useful-Work: An Empirical Study of Pearl's cuPOW Protocol
arXiv: Description-Code Inconsistency in Real-world MCP Servers: Measurement, Detection, and Security Implications
arXiv: Selection-Aware Diagnostics for Chain-of-Thought Answer Hijacking