Webinars

Beyond Keywords and Regex: Scaling AI adoption with intent based data protection.

Traditional data protection strategies fail when applied to AI systems. While enterprises have long relied on keyword searches and regexes to identify and protect intellectual property, these approaches become obsolete when sensitive data flows through conversational AI interfaces and training datasets.

This session explores why intention-based classifications and data protection frameworks are essential for large enterprises navigating AI deployment at scale. Using real-world examples, including how pharmaceutical companies struggle to track proprietary research data within AI conversations, we’ll examine the unique challenges facing organizations with large, diverse, and globally distributed workforces.

View this webinar to learn practical strategies for implementing proactive data governance that accounts for AI’s opaque nature, including risk assessment frameworks that go beyond traditional perimeter security. We discuss how to build data protection systems that anticipate AI’s transformative impact rather than retrofitting legacy approaches that leave critical intellectual property exposed.

This session provides key takeaways for security leaders responsible for protecting enterprise data in the age of AI.