Engineering Blog


Understanding MLSecOps: How to Build Secure AI Systems

  • Date: May 22, 2024
  • Time: 9:30 PM
  • Presented by: Diana Kelley, Protect AI and Guests

Deep Dive into MLSecOps!

Machine learning (ML) and artificial intelligence (AI) are transforming industries, but with that power comes a critical responsibility: securing these powerful tools.

This episode of The (Security) Balancing Act brings together Diana Kelley from Protect AI and a panel of experts to discuss the essential concept of MLSecOps: Machine Learning Security Operations.

You’ll learn:

  • What is MLSecOps?
  • Why is building security into ML and AI systems crucial?
  • What does a modern MLSecOps practice look like today?
  • How has MLSecOps evolved, and where is it headed?
  • Practical steps to implement MLSecOps in your organization.

This webinar offers:

  • Insights from leading security professionals in the field of ML.
  • Strategies to proactively address security risks in ML projects.
  • Best practices for building a robust and secure ML development lifecycle.

This webinar is ideal for:

  • Security leaders seeking to understand the security implications of ML and AI.
  • Data scientists and ML engineers interested in building secure models.
  • Anyone who wants to learn more about protecting their organization from ML-based threats.

Register today and take the first step towards building secure and trustworthy AI!

Reference to the article- BrightTALK

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