Honeywell’s DeLuccia Offers Practical Steps to Address Barriers to AI Adoption
Organizations struggle to implement artificial intelligence at enterprise scale because of basic fears that extend beyond technical issues. It often comes down to fundamental questions about the nature of AI and organizational accountability.
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“There is a fear around its existence a little bit and people don’t know, ‘If I turn it on, am I liable for it? Or is it liable for itself? And if it is, how do I deal with that?'” said James DeLuccia, product security chief at global manufacturer Honeywell.
To overcome these hurdles, DeLuccia advises organizations to establish clear data governance and cloud security standards. Understanding what data is sensitive and where it resides helps to AI more effectively and safely.
DeLuccia, who works with a broad range of teams at Honeywell’s AI cybersecurity center of excellence, is authoring a white paper in collaboration with Information Security Media Group and CyberEdBoard, a global community of senior security leaders, on practical approaches to overcoming obstacles to enterprise AI.
In this video interview with Information Security Media Group at Black Hat USA 2025, DeLuccia also discussed:
- Why psychological barriers slow enterprise AI deployment;
- The need for robust data governance before implementing AI systems;
- How technical confusion fuels legal and operational risk.
DeLuccia leads the security market strategy for global products across Honeywell on Azure and Amazon. He oversees security, operations, incident response, privacy and all cyber functions in the business. During his nearly nine years with the company, he has led or advised on cloud strategy, cloud innovation, cost consolidation, cybersecurity and compliance across the various Honeywell business units. He is a member of the CyberEdBoard.