330 summarised stories about Data Privacy, each linking back to the original source. Browse all topics →
404 Media 2 months ago 22
ICE plans to pay LexisNexis millions for continued access to data intended to be used with a Palantir platform for screening, vetting, lead development, and criminal analysis.
Fortune 7 ● 3 sources
Mark Zuckerberg outlined Meta’s idea for an always-on AI assistant he describes as “personal superintelligence” that supports him while he sleeps, trains, and bakes with his 8-year-old daughter. The essay says it “monitors my sleep” and then provides training feedback. The proposal pushes Meta’s AI positioning toward intimate home and child-related use cases while increasing scrutiny around privacy and child safety.
The Register 2 months ago 20
NEC is testing parking technology with UrbanChain that starts parking charges only after a driver pulls up and exits their car, using cameras and real-time video analysis. In September, the companies will test how many cameras are needed to make the approach feasible. If it works, car parks would stop charging based on entry and instead bill at exit, potentially enabling additional monitoring like exit counts and extended-occupant detection.
SiliconANGLE 2 months ago 28 ● 3 sources
Veeam is urging organizations to treat cyber resilience as an AI resilience strategy focused on recovering quickly when prevention fails as AI agents expand attack surfaces and data risk. The company emphasizes that recovery must be verified through testing rather than relying on hope, and it highlights “recovery verification tools” as the concrete mechanism. The approach shifts security and governance toward verified recovery and stronger data hygiene, including making garbage-collection/data-quality practices a mandate to reduce incorrect inputs driving wrong AI outcomes.
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20 October 2026
Meta’s big bet is still the loudest signal in AI today: Mark Zuckerberg and Alexandr Wang framed the company’s next phase as a full-stack build—own the infrastructure, then monetize agent-style tools beyond ads—with projected spending of $100 billion to $200 billion. The point isn’t just better models; it’s vertical control. Meta is scaling its own compute and, if systems like its “Muse” move from demos to dependable product, could shift revenue from impressions to interactions.
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