Category: AI and ML

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    KiloClaw targets shadow AI with autonomous agent governance

    With the launch of KiloClaw, enterprises now have a tool to enforce governance over autonomous agents and manage shadow AI. While businesses spent the last year securing large language models and formalising vendor agreements, developers and knowledge workers started moving on their own. Employees are bypassing official procurement, deploying autonomous agents on personal infrastructure to […]

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    5 best practices to secure AI systems

    A decade ago, it would have been hard to believe that artificial intelligence could do what it can do now. However, it is this same power that introduces a new attack surface that traditional security frameworks were not built to address. As this technology becomes embedded in critical operations, companies need a multi-layered defense strategy […]

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    China’s Five-Year Plan details the targets for AI deployment

    China has approved its 15th Five-Year Plan [PDF] setting out the country’s economic, education, social, and industrial priorities through to 2030. As might be expected, there is a significant number of references to AI, with the technology mentioned in several contexts. AI is grouped alongside quantum computing, biotechnology, and energy as paths that are to […]

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    Experian uncovers fraud paradox in financial services’ AI adoption

    The same technology that financial institutions deploying is being weaponised against them. That is the core tension running through Experian’s 2026 Future of Fraud Forecast, and it’s a tension the company is in a position to name because it sits on both sides of it. According to FTC data cited in the forecast, consumers lost […]

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