Google has added a new automated review feature to its Conductor AI extension, aiming to make AI-powered code development safer and more reliable. Announced on February 12, this update helps developers not only plan and execute code but also validate it after implementation. The new feature generates detailed reports on code quality and compliance based
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All posts tagged in AI Safety
Google recently uncovered a significant effort to clone its Gemini AI model. According to a quarterly threat report from Google Threat Intelligence Group, over 100,000 prompts were used in a coordinated attack aimed at model extraction. This process involves copying the core reasoning abilities of a proprietary AI, which could threaten Google’s competitive edge and
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Windows shortcut files, known as LNK files, are meant to make opening programs and documents easier. But cybersecurity researchers have found new ways these files can be exploited. These tricks can trick users into unknowingly running malicious software or commands. It’s a growing concern because these shortcuts can do much more than just point to
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Recent research from Apple sheds light on how people feel about using artificial intelligence. While many are open to adopting AI tools, they also want to keep control over their choices. The study highlights that transparency and personal agency are key for user comfort with these smart systems. This shows that even as AI becomes
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A new report from Gartner warns that artificial intelligence could unintentionally shut down a country’s vital infrastructure by 2028. As AI systems become more autonomous, CIOs need to rethink how they control industrial processes that are increasingly handed over to these advanced machines. The concern isn’t just about AI making mistakes, but about systems failing
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Medicomp Systems has announced a new set of AI tools aimed at making healthcare data more reliable and clinically sound. These updates focus on responsible AI use, data validation, and workflows grounded in medical expertise. The goal is to help health tech companies build smarter, safer AI systems that support patient care. Focusing on Responsible
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Generative AI has transformed many industries over the past decade. As AI tools become more advanced at creating text, images, videos, and audio, the need to verify what is human-made has grown even more important. AI detection tools have evolved from simple plagiarism checks to complex systems that ensure content authenticity across multiple media types.
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Recent reports reveal that nation-backed hackers are now using advanced artificial intelligence tools to ramp up their cyberattacks. Countries like Iran, North Korea, China, and Russia are leveraging models such as Google’s Gemini to enhance their campaigns. This shift means more sophisticated phishing, malware development, and reconnaissance efforts, making cyber threats more targeted and harder
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A new report highlights how AI tools are becoming a central part of everyday work, especially in security. Companies are moving beyond testing AI for fun or simple chats. Instead, AI is now embedded into workflows, connected with core business tools, and capable of acting on its own. This rapid shift raises important questions about
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The U.S. Defense Department is pushing the boundaries of military technology by asking AI companies to embed their tools into highly classified systems without any limitations. This move marks a major shift, as these companies usually restrict their AI from being used in top-secret environments. The goal is to accelerate the use of AI in
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