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AI innovation works best when security is involved at the beginning, not after risks have already been introduced. Matthew Mudry shares how CISOs can balance access control, data loss prevention, third-party AI tools, cost-benefit discipline, and human oversight while still helping the business mov…
AI is already in employees' hands, whether leadership is ready or not. Darren explains why organizations need to meet employees where they are and enable AI adoption through alignment and collaboration.In this conversation, Darren shares why AI success depends on cross-functional collaboration…
In industrial environments, unmanaged AI is not just a productivity risk; it can become an operational and safety concern. Rich Dedmon explains why Shadow AI can persist even with a dedicated AI team, especially when employees experiment with AI-generated code in complex environments they may not f…
The AI race is not just happening inside companies; it is unfolding across industries, government, and global competition. David shares why organizations need the right infrastructure, training, data governance, cybersecurity expertise, and technology partners to keep pace with how quickly AI is ad…
AI can speed up security workflows and reduce noise, but Sam Friedman cautions leaders not to force AI into every business problem. Sam explains how AI supports CTEM, false-positive reduction, and operational speed, while reminding leaders to avoid forcing AI into workflows where it does not create…
Rechtliche Hinweise: Der auf dieser Seite eingebettete Podcast und das Bildmaterial stammen von Lenovo, das Eigentum seines Eigentümers ist und nicht mit Listen Notes, Inc. verbunden ist oder von diesen unterstützt wird.