AI and Data Security: Why Your Data Security Model Is Hurting Innovation

Why Your Data Security Model Is Outdated
For over 20 years, we’ve focused on the Data Envelope—securing the perimeter, the cloud, and the network. But in a world of AI and rapid data sharing, protecting the envelope is not enough.
In this video, James Rice (VP of Product Marketing at Protegrity) explains why traditional security has become the biggest bottleneck for modern innovation. Whether you are a security leader, a data architect, or a business innovator, understanding this paradigm shift is essential for the next decade of growth.

What's Challenging Your Data:
AI & Machine Learning: AI agents operate at the data layer, bypassing traditional system-level locks like IAM.
Quiet Failures: Why innovation dies because legacy DLP treats necessary data sharing as a threat to be stopped.
The Remediation Gap: Why having visibility (DSPM) isn't enough if you don't have the right tools to fix the risk.
Quantum Computing: The looming threat that will shatter the cryptographic foundations traditional cybersecurity relies on.

The Solution: Data-Centric Security
The answer isn't a better vault; it’s embedded protection. Learn how to make security travel with the data, allowing it to "know" its own purpose and context. When data carries its own protection, you can finally set it free to drive business outcomes without increasing risk.
Stop protecting the envelope. Start protecting the data.

0:00 The Biggest Challenge to Your Data

0:30 Why the "Data Envelope" Doesn't Work Anymore

1:23 The Convergence: AI, Compliance, and Quantum

1:50 Why Traditional Tools (IAM & DLP) are Failing

2:35 The Solution: Security that Travels with the Data

3:02 How to Drive Innovation at Scale

Visit Protegrity: https://www.protegrity.com
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