Grammarly's “Expert Review” feature uses AI to give feedback through the lens of noted writers and scholars—some of whom are no longer living.

The personal information of 1.2 million individuals was compromised in the University of Hawaii Cancer Center data breach.

The University of Hawaii confirmed that a ransomware gang stole the data of nearly 1.2 million individuals in August 2025 ...

The Social Security numbers belonging to 1,241,020 people were “potentially” exposed during a cyberattack that was initially discovered Aug. 31 by the University of Hawaii Cancer Center’s Epidemiology ...

A data breach at the University of Hawaiʻi Cancer Center exposed the Social Security numbers of as many as 1.15 million people to computer hackers, the university said Thursday, providing more details ...

UK officials at a recent roundtable by the Royal United Services Institute want to integrate compliance solutions into crypto ...

ICAC officers say AI-generated reports are overwhelming investigators and slowing down cases as Meta disputes the claims.

A key-handling defect in the ransomware can permanently lock files by discarding private encryption keys, leaving affected organizations unable to recover data even if a ransom is paid. A newly ...

IN THE METAVERSE & Wyoming--(BUSINESS WIRE)--Decrypt, the media company demystifying crypto and the decentralized web, and production arm Decrypt Studios, a Web3 studio specializing in metaverse ...

Whether you’re working on a simple fix or a big project, the smaller version of a tool is almost always the better one. Credit... Supported by By Tim Heffernan Visuals by Clark Hodgin It’s been a year ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

One of the world’s premier security organizations has canceled the results of its annual leadership election after an official lost an encryption key needed to unlock results stored in a verifiable ...