The debate over where the line should be drawn between privacy and public safety has only intensified in the age of AI. And Flock Safety, a company that has seen both an influx of investment and intense public backlash, finds itself right in the center of that debate. That’s why at TechCrunch Disrupt 2026, we’re
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Hugging Face, a platform that hosts AI models and datasets, said its internal datasets and service credentials were compromised in an attack last week. The company disclosed the breach on Friday, but said it was still investigating whether any customer or partner data was stolen during the incident. In a blog post, the company said
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A recent exam of hundreds of mobile apps marketed to U.S. military personnel found that more than one in eight contained software created by companies in China, Russia or other foreign nations, raising new concerns that adversary governments could collect data that reveals where service members live, work and deploy. According to researchers at Purdue
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Apple and Google They have been ordered to remove apps that can “undress” or “undress” people and told they must stop profiting from harmful technology, according to cease-and-desist letters sent to the companies seen by WIRED. On Thursday, San Francisco City Attorney David Chiu sent legal notices to Apple and Google demanding that they remove
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Rapid injections, Malicious commands that attackers embed in content to entice large language models to follow them have been attackers’ tool to turn AI platforms against their users. A well-worded command entered into an email or calendar invite is often all it takes for the LLM to leak sensitive data or perform other harmful actions.
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Saint’s Hours Drone video footage from the Francisco Police Department exposed on the open web illustrates a new era of incredibly granular and momentous urban surveillance. Meanwhile, the San Francisco City Attorney’s Office sent cease-and-desist letters to Apple and Google this week demanding that the tech giants remove from their app stores 13 AI-nudifying “face-swapping”
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