Mindgard
William Hackett is a Founding Machine Learning Engineer at Mindgard since May 2022, where responsibilities include automating and scaling security testing and risk management for AI models. Prior to this role, William served as the Lead Academic Course Representative for fourth year MSci Computer Science students at Lancaster University Students' Union from October 2019 to June 2020, representing the interests of students in department meetings. Experience also includes a Programming Assistant internship at Gerotor Design Studio Ltd, where William translated software from Visual Basic to C#, and an API Developer role at Yordas Group focused on developing a RESTful API for a help desk ticketing system. Early work experience includes a part-time position as a Catering Assistant at Stonehenge Visitor Centre. William is pursuing a PhD in Computer Science at Lancaster University, expected to be completed in February 2025, following an MSci in Computer Science attained in 2020.
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Mindgard
Mindgard is an AI security company that helps enterprise to test, detect, and respond to adversarial threats against their AI models. Given that businesses are increasingly focused on offering AI-driven services such as LLMs, securing this new way of conducting business is equally important. Mindgard ensures that your business can safely and securely move into the new AI world and continue to protect your digital assets, brand and reputation. Our platform enables enterprise customers to determine, detect, and remediate against any adversarial attack vulnerabilities within all their AI models. This answers the “What is my AI risk?” and “How do I mitigate my AI risk?” questions that currently cannot be answered using traditional Cyber Security platforms. By designing our platform from the ground up to integrate with existing AI and Cyber Security operational tooling, Mindgard can be seamlessly added to your organization, providing repeatable and automated AI model vulnerability testing. The Mindgard platform has been in development for over 4 years based on cutting edge PhD-led, AI & cyber security research, also used by the global Intelligence Community. As well as providing a library of adversarial attacks based on deep research, leveraging our platform that can automate repeated security testing, detection, and response across the entire AI estate. By leveraging the Mindgard platform, our clients free up precious AI and cyber security resources and at the same time understand, detect, and mitigate risks across their entire AI model portfolio, which currently takes too long and is too expensive. Our platform ensures that business can rapidly embrace LLMs and other AI technologies whilst protecting their digital assets, brand, and reputation within the new AI world.