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Encrypted training offers new path to safer language models
A research team from the University of Tokyo has outlined a new approach to training large language models that aims to curb sensitive data leakage while preserving performance, addressing one of the ...
Learn how Attribute-Based Access Control (ABAC) works with detailed policy examples for enterprise SSO, CIAM, and Zero Trust security architectures.
With $800 of off‐the‐shelf equipment and months' worth of patience, a team of U.S. computer scientists set out to find out ...
Following new CISA guidance on mobile security, we look at how iPhone users can protect their chat history. Discover the ...
Apple’s iOS 26.3 update is shaping up to be far more significant than a routine software refresh. While earlier versions of ...
That’s why the FBI warning was echoed a few weeks ago by the U.S. cyber defense agency, telling smartphone users to “ only ...
As regulators tighten rules and customers become more privacy-aware, BPOs are under pressure to do more than just “secure” ...
Abstract "Double-extortion" ransomware attacks not only encrypt systems but also steal sensitive data. Traditional backups ...
There’s a well-worn pattern in the development of AI chatbots. Researchers discover a vulnerability and exploit it to do ...
Researchers affiliated with universities in China and Singapore have devised a technique to make stolen knowledge graph data useless if incorporated into a GraphRAG AI system without consent.
We independently review everything we recommend. When you buy through our links, we may earn a commission. Learn more› By Max Eddy Max Eddy is a writer who has covered privacy and security — including ...
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