Agentic AI: Benefits, Risks and Best Practices for Implementation

"Today I serve as Chief Information Security Officer at Noma Security an AI security platform. My journey has taken me through technical leadership and advisory roles at companies large and small, including: Protect AI (now Palo Alto Networks), Microsoft, IBM Security, Symantec, Burton Group (now Gartner), and KPMG, as well as co-founding the consultancy SecurityCurve. Along the way, I've been fortunate to serve on industry boards including WiCyS, the Executive Women's Forum, CyberFuture Foundation, TechTarget Security Editorial, and InfoSec World."

"I love sharing knowledge in my public speaking and keynotes, via my LinkedIn Learning courses, and was so proud to learn that a book I co-authored Practical Cybersecurity Architecture, had been adopted by some professors as a textbook. I'm honored to be recognized as a Global Cyber Security Hall of Fame inductee and EWF Executive of the Year, yet what matters most to me is building collaboration and inclusion."

Artificial intelligence has reshaped the cybersecurity landscape, producing technological breakthroughs and enabling more sophisticated threats. Agentic AI combines software and generative language models to create systems capable of making decisions and acting autonomously. Organizations considering agentic AI adoption face both benefits and risks that require careful evaluation and security controls. Diana Kelley serves as Chief Information Security Officer at Noma Security and has extensive technical leadership and advisory experience across major security firms and consultancies. Kelley emphasizes teaching, mentoring, collaboration, inclusion, and practical cybersecurity architecture as foundational elements for secure AI implementation.

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