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  • Platform
    • AI-native SASTContextual static application security testing
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    • Repository ReviewsDeepScan contextual analysis of your full codebase
    • Custom Code PoliciesAI-native security policies in natural language
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    • DryRun vs. GitHub Advanced Security
    • DryRun vs. Snyk Code
    • DryRun vs. Claude Code Security
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    • DryRun vs. Wiz Code
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Home/Webinars

Learn with AppSec practitioners

Hands-On with AI Using LLMs to Detect IDOR and Auth Flaws

Interested in using the power of Large Language Models (LLMs) in identifying critical security vulnerabilities? You're in the right place.

In this workshop, you'll learn how to build a basic AI agent utilizing LLMs to detect Insecure Direct Object References (IDOR) and authentication flaws in applications. Ken Johnson guides you step-by-step through the process of creating the agent, training it to recognize these specific vulnerabilities, and integrating it into your security testing workflow.

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