ICE has used Mobile Fortify to identify immigrants and citizens alike over 100,000 times, by one estimate. It wasn't built to work like that—and only got approved after DHS abandoned its own privacy ...
Biometric locks like face recognition are easy to set up—but thanks to a legal loophole, they're easier for law enforcement to bypass than a passcode. Our team tests, rates, and reviews more than ...
MINNEAPOLIS — Federal immigration agents flooding U.S. streets are using a new surveillance tool kit whose increasing use on observers and bystanders is alarming civil liberties advocates, lawmakers ...
Luis Martinez was on his way to work on a frigid Minneapolis morning when federal agents suddenly boxed him in, forcing the SUV he was driving to a dead stop in the middle of the street. Masked agents ...
The Boston startup uses AI to translate and verify legacy software for defense contractors, arguing modernization can’t come at the cost of new bugs.
Federal immigration agents flooding U.S. streets are using a new surveillance tool kit whose increasing use on observers and bystanders is alarming civil liberties advocates, lawmakers and activists.
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UIDAI launches new Aadhaar app allowing address updates from home with face authentication
Aadhaar has become one of the most essential identity documents for Indian citizens, required for everything from banking services and income tax filings to accessing government welfare schemes.
Biometric locks like face recognition are convenient to set up—but because of a legal loophole, law enforcement can bypass them more easily than a traditional passcode. I review privacy tools like ...
Samuel Montgomery is a News Reporter for The Telegraph, covering a range of topics including crime, social affairs and politics. He has previously written for Private Eye, GB News, Tatler, British GQ ...
Man misidentified by London supermarket using Facewatch system says: ‘I shouldn’t have to prove I am not a criminal’ A man was ordered to leave a supermarket in London after staff misidentified him ...
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