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Rite Aid Used Facial Recognition in Stores for Nearly a Decade


Just over two weeks after an unprecedented hack led to the compromise of the Twitter accounts of Bill Gates, Elon Musk, Barack Obama, and dozens more, authorities have charged three men in connection with the incident. The alleged "mastermind" is a 17-year-old from Tampa, who will be tried as an adult. There are still plenty of details outstanding about how they might have pulled it off, but court documents show how a trail of bitcoin and IP addresses led investigators to the alleged hackers. A Garmin ransomware hack disrupted more than just workouts during a days-long outage; security researchers see it as part of a troubling trend of "big game hunting" among ransomware groups. In other alarming trends, hackers are breaking into news sites to publish misinformation through their content management systems, giving them an air of legitimacy.

Why Facial Recognition Providers Must Take Consumer Privacy Seriously


Consumer privacy has made big headlines in the recent years with the Facebook Cambridge Analytica Scandal, Europe's GDPR and high-profile breaches by companies like Equifax. It's clear that the data of millions of consumers is at risk every day, and that companies that wish to handle their data must do so with the highest degree of protection around both security and privacy of that data, especially for companies that build and sell AI-enabled facial recognition solutions. As CEO of an AI-enabled software company specializing in facial recognition solutions, I've made data security and privacy among my top priorities. Our pro-privacy stance goes beyond mere privacy by design engineering methodology. We regularly provide our customers with education and best practices, and we have even reached out to US lawmakers, lobbying for sensible pro-privacy regulations governing the technology we sell.

New AI Face Anonymization Model Protects Privacy


Was George Orwell right, is Big Brother watching us? Undoubtedly many are alarmed by the ever-increasing level of computer-driven surveillance, particularly involving facial recognition technologies. In the past few months, San Francisco and Oakland, California, and the US state of Massachusetts have all banned police from using facial recognition tech. Meanwhile, in Europe, The General Data Protection Regulation (GDPR) introduces restrictive rules about privacy preservation in data processing. A team of researchers from the Norwegian University of Science and Technology recently proposed a new architecture that can anonymize faces in images automatically while the original data distribution remains uninterrupted.

Five Tools That Use AI for Cybersecurity - AI Trends


AI is being employed by attackers, such as within Deeplocker malware, which avoided a tight cyber security mechanism by utilising AI models to attack target hosgts using face recognition, geolocation and speech recognition. This attack speaks volumes about the huge role of AI in cyber security domains. To counter attack and defend, AI for cybersecurity has become necessary. Large and small organizations and even startups invest heavily in building AI systems to analyze large data and in turn, help their cybersecurity professionals to identify possible threats and take precautions or immediate actions to resolve them. Phishing, one of the simplest and most common social engineering cyber attacks is now easy to master by attackers.