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.

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.

Machine learning & AI

Mythos AI alarm bells: Fair warning or marketing hype?

Anthropic postponing the release of its new AI model Claude Mythos, said to be so skilled at coding it could be a wicked weapon for hackers, has encountered a mix of alarm and skepticism.

Security

AI making cyber attacks costlier and more effective: Munich Re

Artificial intelligence is making cyberattacks increasingly sophisticated and costlier for businesses, reinsurer Munich Re said Wednesday, warning of methods ranging from highly personalized phishing emails to computer-generated, ...

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