We will be providing a $25 Uber eats card as a gift for attending at the end of the event.

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The Race to AI Deployment Can't Outrun Risk. Your models are your most valuable asset, but are they secure? Gain a unified, continuous view of your entire AI ecosystem to identify and remediate security misconfigurations and compliance risks before they slow down your roadmap. Go beyond simple testing: stress-test live AI applications with automated penetration testing that mimics real-world attackers, ensuring the integrity and reliability of your autonomous AI agents in production.

A complete AI security strategy requires mastering two distinct domains: securing the AI applications you build and deploy, and governing how your employees use external AI tools.

As you build and deploy AI applications, you create a new and complex attack surface. This session moves beyond theory to provide a practical framework for embedding security directly into the entire AI development lifecycle. We will demonstrate how to protect your models, applications, and data from the most advanced threats, using Prisma AIRS.

In this session, you will learn how to:

1. Discover Hidden Risks in Your Models: Uncover vulnerabilities, malicious code, and embedded secrets in your first-party and third-party AI models before they are ever deployed into production.

2. Automate AI Red Teaming: Continuously stress-test your live AI applications with automated penetration testing that mimics real attackers to find and fix security gaps.

3. Prevent Real-Time Attacks in Production: Block active threats targeting your running AI applications, including prompt injection, insecure outputs, and attacks against autonomous AI agents.

4. Maintain Continuous AI Posture: Gain a unified view of your entire AI ecosystem to identify and remediate security misconfigurations and maintain compliance.