All Changes
EU Regulatory Changes
1668 changes tracked across 24 compliance frameworks including DORA, NIS2, GDPR, EU AI Act, Cyber Resilience Act, and more.
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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
This paper, published on arXiv on June 10, 2026, introduces a novel cybersecurity vulnerability called the "Amnesia" attack, which targets continual learning systems. Continual learning is a machin...
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This publication introduces a novel technical framework for evaluating the defensibility of AI systems against adversarial manipulation, moving beyond traditional runtime enforcement methods. The p...
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This paper, published on arXiv, proposes a new framework for defining a "reasonable standard of care" for cybersecurity, moving beyond simple compliance checklists. It argues that current regulator...
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This paper, published on arXiv, introduces a new algorithm for differentially private hierarchical heavy hitters, a technique used to identify the most frequent items in a dataset while preserving ...
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This publication from arXiv introduces a new design framework for cryptographic APIs that prioritizes intent-based programming, enabling systems to automatically adapt cryptographic algorithms and ...
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A new academic framework has been published on arXiv titled "An Assessment Framework for Application-Level Cryptographic Agility," which proposes a structured methodology for evaluating how easily ...
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This paper, published on arXiv, introduces a new benchmarking framework called "Who Pays the Price?" designed to evaluate how real-world web agents—AI systems that interact with websites and online...
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This publication introduces a novel cryptographic method called Split Tallies, which enables the auditing of dynamic ordered sets, such as transaction logs or supply chain records, using only const...
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This publication, a longitudinal study from arXiv, analyzes how Android malware has increasingly used covert communication channels—such as steganography, encrypted payloads in network traffic, and...
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This paper, published on arXiv on June 11, 2026, presents research demonstrating that large language model-powered AI systems can now autonomously develop and execute penetration testing capabiliti...
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