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: High-Performance NTT Accelerators for PQC leveraging Unified Redundant Arithmetic and Fine-Tuned Microarchitec...
This publication from arXiv, dated July 1, 2026, presents a technical paper detailing new hardware accelerators for Post-Quantum Cryptography (PQC). The paper describes a method to significantly sp...
Read analysis →
arXiv: Safe Alone, Unsafe Together: Safeguarding Against Implicit Toxicity When Benign Images Combine
This publication, a pre-print from arXiv dated July 2026, presents a novel vulnerability in multimodal AI systems. It demonstrates that individual benign images, when processed together by a model,...
Read analysis →
arXiv: HARC: Coupling Harmfulness and Refusal Directions for Robust Safety Alignment
This paper, published on arXiv, introduces a new technical framework called HARC, which addresses a critical vulnerability in large language models (LLMs). The research demonstrates that current sa...
Read analysis →
arXiv: Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks
A new preprint from arXiv, published on July 1, 2026, presents research demonstrating that lightweight intrusion detection models used in Industrial Internet of Things (IIoT) networks suffer from s...
Read analysis →
arXiv: Beyond the Prompt: Jailbreaking Function-Calling LLMs via Simulated Moderation Traces
This paper, published on arXiv, details a novel vulnerability in large language models (LLMs) that use function-calling capabilities. The research demonstrates that attackers can bypass safety guar...
Read analysis →
arXiv: Minos: A Multi-Agent Collaborative Framework for Provenance-Based Backward Tracking
A new research paper titled "Minos: A Multi-Agent Collaborative Framework for Provenance-Based Backward Tracking" has been published on arXiv, proposing a technical framework for tracing the origin...
Read analysis →
arXiv: KidnapRAG: A Black-Box Attack for Hijacking Reasoning in Agentic Retrieval-Augmented Generation Systems
A new research paper, KidnapRAG, published on arXiv, details a novel black-box attack targeting agentic Retrieval-Augmented Generation (RAG) systems. This attack demonstrates how malicious actors c...
Read analysis →
arXiv: A Penny for Your Prompts: Experiments Detecting and Mitigating LLM Usage by Survey Respondents
This publication from July 2026, titled "A Penny for Your Prompts," presents new research on detecting and mitigating the use of large language models (LLMs) by survey respondents. While not a regu...
Read analysis →
arXiv: SoK: Attack and Defense Landscape of Mobile On-device AI Systems
This publication is a systematic academic review, not a regulatory change. It surveys the security and privacy vulnerabilities of on-device AI systems, such as those running on smartphones, wearabl...
Read analysis →
arXiv: ReShift: Aha-Moment-Driven Reasoning-Level Backdoor Attacks on Vision-Language Models
arXiv: (A)I Sees What You Don't: Exploiting New Attack Surfaces in Third-Party Mobile Agents
arXiv: Federated Sovereign Transport Protocol (FSTP): Verifiable Coordination Without Disclosure
arXiv: A Non-Line-of-Sight, Multi-Modality-based Side-Channel IP Theft Attack on Additive Manufacturing Using Dual Sm...
arXiv: Semantic Leakage and Privacy Preservation in Relay-Assisted Semantic Communications
arXiv: Robocalls: A Worldwide or US-only Problem? Analyzing Spam and Fraud in International Phone Calls
arXiv: All-out Attack: Optimal Block Withholding Under Pay-Per-Share Scheme
arXiv: Detecting Adversarial Evasion Attacks Against Autoencoder-Based Network Intrusion Detection Systems
arXiv: Antaeus: Hunting Repository-Level Logic Vulnerabilities via Context-Grounded LLM Reasoning
arXiv: Toward a Unified Security and Privacy Framework for AI-Native 6G Networks
arXiv: The Binary Tree Mechanism is Optimal for Approximate Differentially Private Continual Counting