RSAC Veeam’s Shiva Pillay: Ensuring data trust and contextualization for AI security June 22, 2026 Share By SC Staff AI investment is exploding, yet nearly 90% of enterprise initiatives fail because the data powering AI cannot be trusted. That’s the uncomfortable truth the industry is facing right now. Safe AI at scale requires more than just great models — it demands trusted, governed, and recoverable data. Veeam's Shiva Pillay discusses ensuring data trust and contextualization for AI security. This segment is sponsored by Veeam. Visit https://securityweekly.com/veeam to learn more about them! Segment resources: Veeam Launches New Data and AI Trust Maturity Model to Help Organizations Benchmark AI Readiness: https://www.veeam.com/company/press-r... SC Staff Related Data Security Trust or fail: AI unlocks the value of unstructured data but raises new challenges for AI success Paul Wagenseil April 28, 2026 Agentic AI can't succeed without trust, and trust begins with mapping how data is accessed, used, and protected. Data Security Controlling AI at machine speed: Detecting risk, protecting systems, and reversing mistakes Paul Wagenseil April 24, 2026 Managing the behavior of AI agents requires a data-centric, continuous, and adaptive new approach to security. Network Security The browser is the battlefield: Why security must be where work happens Paul Wagenseil April 22, 2026 The browser is no longer just a tool. It's the primary battleground of enterprise security. Get daily email updates SC Media's daily must-read of the most current and pressing daily news Business Email By clicking the Subscribe button below, you agree to SC Media Terms of Use and Privacy Policy . Subscribe You can skip this ad in 5 seconds