The first point is that privacy has to drive the design. Medical images have to pass a specialized data flow in which there are clear points for origin, removal of identifiable information, encryption, key management, inference, and storage. Each transfer creates a new trust boundary and needs to be considered at the architectural level.

A new study finds leading AI labs have few publicly documented plans for containing rogue models, raising questions about preparedness as AI systems increasingly demonstrate unexpected and potentially dangerous behavior.

The deeper challenge is governance: who controls the AI control plane, under which policies, enforced where, and audited how.

Microsoft is moving toward fully automated security operations, using coordinated AI agents. The system is already proving effective in real-world testing. Microsoft believes AI is becoming a core layer of cybersecurity. A new multi-model agentic AI ...

AI companies are moving beyond a simple race over who has the biggest or newest model. Perplexity CEO Aravind Srinivas says the real product is becoming the system that chooses which model to use for each task. Benchmark’s Peter Fenton says open-weight ...

The U.S., South Korea, and Japan are pursuing different AI-driven combat systems. That will lead to different recommendations on the same battlefield.