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Traditional security models were not designed for environments where AI systems continuously access, process, and learn from enterprise data. In this interview, Todd Moore explains why organizations are shifting toward more data-centric security strategies and what that change means in practice. The conversation explores unified data awareness, the growing importance of crypto-agility, and why organizations need to prepare now for both AI-driven risk and the coming realities of post-quantum security.
By FoundryTraditional security models were not designed for environments where AI systems continuously access, process, and learn from enterprise data. In this interview, Todd Moore explains why organizations are shifting toward more data-centric security strategies and what that change means in practice. The conversation explores unified data awareness, the growing importance of crypto-agility, and why organizations need to prepare now for both AI-driven risk and the coming realities of post-quantum security.