Technology has advanced at an unprecedented pace, transforming the way we live, work, and connect. But with great progress comes great responsibility—especially when it comes to securing artificial intelligence (AI). In this episode of the ManageEngine Insights podcast, host Debanjali Ghosh sits down with cybersecurity expert Dr. Chase Cunningham, widely known as the Doctor of Zero Trust, to explore the intersection of AI, cybersecurity, and responsible governance.
AI has the potential to revolutionize industries, but it also introduces new risks. What happens when AI systems go rogue, get compromised, or misinterpret their roles? How can Zero Trust principles help organizations secure AI-driven environments? Dr. Cunningham breaks down these critical issues and shares practical strategies for implementing robust security frameworks in an AI-powered world.
Key takeaways
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The biggest cybersecurity risks posed by AI and how Zero Trust mitigates them
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Why AI systems must be treated with the same scrutiny as human users
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How “never trust, always verify” and “least privilege access” apply to AI-driven systems
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The role of Zero Trust in preventing adversarial AI attacks, such as data poisoning
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Strategies for monitoring AI in real time to detect and respond to threats
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How emerging technologies like quantum computing and decentralized networks will impact AI security
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The evolving role of regulation and policy in shaping AI governance
