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Dilip
Mandadi
Director of Product Management, Data Security and Governance
Salesforce
Dilip Mandadi is Director of Product Management for Data Security and Governance at Salesforce, where he leads foundational capabilities powering secure, AI-driven data experiences within Data 360. With deep expertise across identity, governance, compliance, and large-scale data integration platforms, Dilip specializes in building enterprise systems that balance security, scalability, and seamless user experience. Over the past decade, he has led product initiatives spanning AI infrastructure, enterprise IAM, customer identity, compliance automation, and data governance across Salesforce, Cisco, KPMG, and PwC. His work has included modernizing identity systems for more than 70,000 Salesforce employees, supporting secure access for over 20 million Cisco users, and developing scalable governance frameworks for AI-powered enterprise products. Passionate about responsible AI adoption, Dilip frequently speaks on topics including identity security, authentication, zero trust architecture, AI governance, and trusted data systems for enterprise AI. He brings a unique perspective at the intersection of product strategy, security, compliance, and AI transformation.
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23 September 2026 11:30 - 12:15
Panel - Securing the AI era: Governance, identity & trust in modern product strategy
As AI becomes embedded across products, workflows, and customer experiences, product leaders are facing growing pressure to balance rapid innovation with security, governance, and trust. From AI copilots and autonomous workflows to enterprise-grade AI infrastructure, organisations are now navigating complex questions around identity, access, compliance, data privacy, and operational risk. This panel brings together leaders across product, platform, security, and operations to explore how companies are building AI-enabled products responsibly — without slowing innovation to a halt. The discussion will unpack the governance frameworks, organisational models, and product decisions required to scale AI safely in enterprise environments while still delivering seamless customer experiences and business impact. Attendees will gain practical insight into: - building trust into AI-powered products and workflows - balancing governance with speed and experimentation - identity, permissions, and security challenges in AI systems - operational readiness for enterprise AI adoption - how product, security, and platform teams can collaborate more effectively - where organisations are underestimating AI risk today Ideal for product, platform, operations, and digital leaders navigating the realities of secure and scalable AI adoption.