SecureRAG, your next-level data protection for AI webinar
Would your company utilize AI more if you were confident it could be used securely?
Discover how Polymer new SecureRAG empowers your enterprise to leverage Google Gemini for AI-powered search across your SaaS data stack — all while safeguarding sensitive information from unauthorized exposure.
Join industry leaders Ed Bellis and Yasir Ali to explore how Polymer SecureRAG bridges the gap between AI innovation and data security with advanced data protection controls.
Topics
- See how Polymer’s new SecureRAG fortifies AI-driven applications with unmatched industry safeguards.
- Gain insights into how your data is protected.
- Explore rule-based controls for sensitive data protection.
- See real-time data restriction in action with Gemini.
- Learn how enterprises are using SecureRAG for helpdesks, onboarding agents, and enterprise search.
Panelists
Ed Bellis – CTO & Founder, Kenna Security
Ed Bellis is a security industry veteran and expert and was once named Information Security Executive of the year. He founded Kenna Security to deliver a data-driven risk-based approach to remediation and help IT teams prioritize and thwart would-be security threats.
Bellis is the former CISO of Orbitz and former Vice President, Corporate Information Security at Bank of America. He is an Advisor to Dharma and former Advisor to SecurityScoreboard.com and Society of Payment Security Professionals.
Bellis is a contributing author to the book, Beautiful Security and a frequent speaker at industry conferences and events.
Yasir Ali – CEO & Founder, Polymer
Yasir Ali is the founder & CEO of Polymer, a data security posture management (DSPM) platform for SaaS apps and AI tools.
Before founding Polymer, Yasir consulted with large financial institutions to solve problems related to data, technology, and regulations. Prior to that, he worked as a bond trader at Bear Stearns, Barclays, and various hedge funds.
Yasir is passionate about data security and compliance. He regularly writes and speaks about data governance and how organizations can reduce the risk of inadvertent or malicious leakage of PII, PHI, and other sensitive data.
