A Strategic Approach to AI Application Security

As organizations infuse AI into every layer of their business, from support chatbots to product features, they also create a complex and often uncontrolled attack surface. Traditional security tools don't address the unique risks posed by malicious models, compromised agents and sophisticated prompt attacks. This leaves critical data and infrastructure exposed.

This webinar provides cloud security practitioners with a clear framework for navigating the modern AI threat landscape. We move beyond theory to detail real-world attack patterns and provide practical strategies for securing AI workloads at scale.

What You'll Learn

• The expanded AI attack surface: Understand how AI artifacts like prompts, models and agents are layered on top of enterprise cloud environments to create new security vulnerabilities.

• Three critical AI-specific threats: Learn the mechanics behind attacks leveraging malicious open-source models, the vast potential of prompt injection and the risks of poorly scoped agentic applications.

• A multilayered defense strategy: Discover how to implement a comprehensive security plan that integrates prevention, runtime protection and automated detection and response.

Data-aware risk prioritization: See how to connect AI pipeline vulnerabilities with sensitive data exposure to focus remediation on the most critical issues first.