Webinars
Building an AI-Ready Data Security Strategy

WEBINAR SERIES

Building an AI-Ready Data Security Strategy

Wednesday, January 21, February 4 and February 18

10 AM PT / 1 PM ET

Artificial intelligence is transforming how organizations work, but it is also redefining data risk. From employees using unsanctioned generative AI tools to sensitive data flowing into approved AI platforms without proper controls, security and governance teams face an urgent challenge: how to enable AI innovation without losing control of their data.

Join us for a three-part webinar series where we will explore how to govern AI use and modernize data security for the AI era. You’ll learn how to stop data leakage to shadow AI, securely govern data used by sanctioned AI tools, and build an AI-ready data security platform that scales with your business. Each session combines real-world scenarios, practical guidance, and forward-looking strategies to help you adopt AI with confidence.

3-Part Webinar Series

On-Demand Detect and Prevent Data Leakage to Shadow AI
On-Demand Trusting AI Starts with Trusting the Data
On-Demand Future-Proofing Data Security for an AI-First World

Register once and you'll automatically be added to all sessions in the series. If you are not able to join us live, you'll still receive the resources and link to watch the replay.

Detect and Prevent Data Leakage to Shadow AI

Wednesday, January 21, 2026 at 10 AM PT / 1 PM ET

Generative AI is moving faster than security teams. As a result, sensitive data slips into unsanctioned AI tools, frequently with serious consequences. This new wave of Shadow AI creates data exposure risks that traditional DLP was never designed to handle.

Join us for this 30-minute session, where we’ll examine how shadow AI emerges, why it’s so difficult to detect, and what types of sensitive data are most at risk. You’ll learn:

  • Practical strategies to identify AI use across the organization
  • Best practices for preventing data leakage in real time and educating users without blocking productivity
  • Real-world examples of how organizations are securing data across hybrid workspaces

Trusting AI Starts with Trusting the Data

Wednesday, February 5, 2026 at 10 AM PT / 1 PM ET

Before AI is sanctioned, organizations must ensure that the data augmenting these systems is properly classified, protected, and governed. Without the right guardrails, even approved AI initiatives can create compliance gaps, privacy risks, and unintended data exposure.

Join us for part 2 of the series. In this 30-minute session, we will focus on how to apply strong data security and governance controls to sanctioned AI use cases. We’ll cover:

  • How to identify data critical to your organization and strengthen the security posture of sensitive data
  • How to govern data access, enforcing policy and building workflows to align AI initiatives with regulatory and compliance requirements
  • How to continuously monitor data used and generated by approved AI tools like Microsoft Copilot

Future-Proofing Data Security for an AI-First World

Wednesday, February 18, 2026 at 10 AM PT / 1 PM ET

AI isn’t a one-time project; it’s a long-term transformation that demands a modern approach to data security. Legacy, siloed tools struggle to keep pace with the expanding attack surface introduced by various AI applications and the variety of ways data is exposed to AI systems. To succeed, organizations need a content, context and intent-aware unified data security platform built for the AI era.

In the final session of the series, we’ll explore what it means to be truly AI-ready from a data security perspective. Learn how to:

  • Unify visibility into shadow and sanctioned AI usage and surface data exposure risk
  • Highlight key capabilities of a unified, AI-ready data security platform such as DLP, data access governance and GenAI activity monitoring
  • Build a roadmap to support AI innovation today and in the future