No Data Privacy, No Innovation: Research That Proves Compliance is Essential to AI (Sept. 8th)
Tuesday, September 8th, 2026: 11:00 AM to 12:00 PM
AI/ML investment is surging, and enterprises are pouring resources into innovation. But when innovation and compliance collide, which one wins? According to the Perforce Delphix 2026 State of AI and Data Privacy Report, 98% say they are confident in their ability to protect sensitive data in AI/ML workflows. Yet 84% still allow data compliance exceptions.
Virtual
That gap between confidence and practice is exactly where risk hides. Join Delphix experts Rod Cope, Mayank Ahluwalia, and Matthew Yeh as they unpack the report's findings, enterprises’ great data privacy risk, and what they mean for agentic development.
In this session, you will learn:
- Which privacy concerns AI/ML enterprises should be most worried about.
- Why high confidence often masks real compliance and security gaps.
- The biggest challenges to protecting data at AI speed, including data quality.
- How to safeguard sensitive data without bottlenecking AI innovation.
Confidence alone will not keep your data safe. Register now to see what the data reveals and how to close the gap.
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