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

EU Regulatory Changes

1624 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: SeClaw: Spec-Driven Security Task Synthesis for Evaluating Autonomous Agents
A new academic paper titled "SeClaw: Spec-Driven Security Task Synthesis for Evaluating Autonomous Agents" has been published on arXiv, proposing a framework for systematically generating security ...
Read analysis →
arXiv: AgentRedBench: Dynamic Redteaming and Integration-Aware Defense for LLM Agents over SaaS Integrations
This paper, published on arXiv, introduces AgentRedBench, a new framework for testing the security of large language model (LLM) agents that are integrated with third-party software-as-a-service (S...
Read analysis →
arXiv: PyFEX: Uncovering Evasive Python-based Threats via Resilient and Exhaustive Path Exploration
This publication introduces PyFEX, a new technical framework designed to detect evasive Python-based cyber threats by systematically exploring all possible execution paths in malicious code. While ...
Read analysis →
arXiv: Unicity: Predicates and Atomic Swaps
This paper, published on arXiv under the AI Safety framework, introduces a formal mathematical model called "Unicity" for verifying the safety of atomic swaps in decentralized systems. Atomic swaps...
Read analysis →
arXiv: The Unicity Execution Layer
arXiv: PeAR: A Static Binary Rewriting Framework for Binary-Only Fuzzing
arXiv: Implementation and Optimization of HQC Decoding on NPU-Integrated Devices
arXiv: ContinuousBench: Can Differentially Private Synthetic Text Improve Capabilities?
arXiv: Benign Inputs, Harmful Outputs: Cross-Modal Jailbreaking via Distributed Semantic Recomposition
arXiv: Tridirectional Discriminating-Power Formal Verification of Smart Contract Reentrancy Defense Against Productio...
arXiv: SECUREVENT: Hybrid AI/ML Security Monitoring for Distributed Event-Based Systems
arXiv: Fair Finetuning Mitigates Distribution Inference Attacks
arXiv: IstGPT: LLM-based Anomaly Detection for Spatial-Temporal Graph in Industrial Systems
arXiv: CoreUnlearn: Rethinking Concept Unlearning through Disentangled Component-Level Erasure in Text-guided Diffusi...
arXiv: Defenses & Enablers For Skill Injection Attacks on Terminal Based Agents
arXiv: Near-Optimal Pure Machine Unlearning for Smooth Strongly Convex Losses
arXiv: Agent Operating Systems (AOS): Integrating Agentic Control Planes into, and Beyond, Traditional Operating Systems
arXiv: ClawHub Security Signals: When VirusTotal, Static Analysis, and SkillSpector Disagree
arXiv: NetVAD: Foundation-Model Representation Learning for Identifier-Free Unsupervised Intrusion Detection
arXiv: Stateful Online Monitoring Catches Distributed Agent Attacks
This paper, published on arXiv, introduces a novel monitoring framework called Stateful Online Monitoring designed to detect coordinated attacks by multiple AI agents operating in distributed envir...
Read analysis →