Securing AI Agents and Preventing Data Exposure in GenAI Workflows

Learn how AI agents and GenAI apps expose data — and how to secure them before breaches happen

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About this webinar

As organizations rush to integrate AI into daily operations, a new risk is emerging: sensitive enterprise data exposure through AI agents and GenAI applications.

While AI models aren't always trained directly on sensitive data, they often connect to knowledge sources like Amazon S3, SharePoint, and Google Drive — creating new attack surfaces if access controls and governance aren't carefully managed.

In this webinar, an expert from Sentra will explore how AI agents and custom GenAI workflows can unintentionally expose sensitive information. You’ll learn about real-world misconfigurations, common vulnerabilities, and proven strategies to strengthen your AI security before breaches happen.

What You'll Learn

  • Where AI agents and GenAI workflows expose sensitive enterprise data
  • Real-world examples of AI-driven misconfigurations and leaks
  • Best practices to secure AI data connections without slowing innovation
  • How to strengthen access controls, enforce governance, and future-proof AI security

This session is for anyone involved in building, deploying, securing, or managing AI systems and enterprise data — including security teams, IAM specialists, DevOps engineers, IT leaders, data governance professionals, and technology executives.

As GenAI reshapes how businesses access and use information, understanding how to secure AI agents and prevent data exposure is critical to protecting sensitive assets and staying ahead of emerging threats.

GenAI is transforming the way organizations handle data — but without proper controls, it can also expose your most valuable information. This session will equip you with the knowledge and tools to secure your AI systems before misconfigurations, data leaks, or breaches occur.