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

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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