Page 2: Research news on Cybersecurity frameworks

Cybersecurity frameworks provide structured approaches for protecting digital, physical, and socio-technical systems from malicious activities and failures. Work in this area spans critical infrastructure and industrial control systems, cyber-physical and robotic platforms, telecommunications and hardware, and emerging domains such as NFTs and biosecurity. Methods include AI-driven intrusion detection, automated vulnerability discovery, side-channel and protocol analysis, insider threat modeling, and authentication and access control schemes, often embedded in holistic, multi-layered, and user-centered models of cyber resilience and crisis response.

Security

AI fails to make inroads with cybercriminals, study finds

Cybercriminals have been struggling to adopt AI in their work, reports the first-of-its-kind study that analyzed a dataset of 100 million posts from underground cybercrime communities. The study is published on the arXiv ...

Machine learning & AI

Anthropic says will put AI risks 'on the table' with Mythos model

American AI developer Anthropic plans to "lay the risks out on the table" even as it restricts deployment of a new model dubbed Mythos, whose powerful cybersecurity capabilities raise stark questions for companies and governments.

Machine learning & AI

AI 'agent' fever comes with lurking security threats

Artificial intelligence "agents" promise to save users time and energy by automating tasks, but the growing power of systems like OpenClaw is setting cybersecurity experts on edge.

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