Catching IDORs, Broken Authorization, and Other Logic Issues with Semgrep AI-Powered Detection

As AppSec teams improve at preventing traditional OWASP vulnerabilities with tools like Semgrep, they face challenges in detecting logic vulnerabilities such as IDORs and broken authentication, which are significant in bug bounty findings and costly to address. Traditional methods like static analysis and bug bounty programs are reactive and resource-intensive, often failing to catch these issues before they reach production. Semgrep's new AI-powered detection integrates the Semgrep Pro Engine with large language model (LLM) capabilities to enhance the identification of logic flaws by combining structured code scanning with contextual reasoning from AI, leading to significant improvements in accuracy and reduction of false positives. A private beta program is now available for organizations to test this hybrid approach, which has shown promising results in uncovering critical vulnerabilities that traditional scanners miss, offering a more effective solution for detecting complex security gaps in applications.

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