Beyond AppSec: Discover & Assess Risk in your AI Lifecycle with Snyk Labs

Webinar


webcast_Beyond_AppSec

Uncover hidden risk in your AI applications before attackers do. AI-native applications have rewritten the rules of software architecture, and with them, the rules of security. Prompt injection, data leakage, hidden agent behavior, and unpredictable tool execution mean traditional AppSec approaches can’t always see or validate the real risks lurking inside AI systems.

In this hands-on webinar, we’ll walk through the first two phases of securing the AI lifecycle using new, free-to-use capabilities from Snyk Labs:

1. Discover (AI-BOM)

Automatically map models, dependencies, datasets, and MCP tooling. Even the ones that no one told you about.

2. Assess (MCP Scan & AI Red Teaming)

Now that we know what’s included in our AI-native application, let’s assess these components for risk.

Learn how to:

  • Automatically map models, dependencies, datasets and MCP tooling to generate an AI-BOM
  • Run MCP Scans and automated AI Red Teaming to uncover AI risks before they hit production
  • Run these tools from the CLI with the exact commands to reproduce everything on your own

You’ll leave with the exact commands to start scanning your own AI stack, run these tools from the CLI, generate actionable evidence, and feed results back into developer workflows.

Here's what you'll need to follow along (and generate your own AI-BOM):

Speakers:

  • Damian Tommasino, Staff Solutions Engineer, Snyk
  • John Carione, Sr. Director, Product Marketing, Snyk