DefendLab

DefendLab is an AI-native application security company that offers an agentic security analysis platform designed to detect and validate software vulnerabilities, with a focus on business logic flaws that traditional static and dynamic analysis tools typically miss. The platform functions as an AI Security Engineer, using a mixture-of-agents approach to reach consensus on findings, replacing pattern-matching methods with evidence-based exploit validation. Rather than generating alerts, the system proves exploitability at runtime, aiming to reduce false positives and increase signal quality. Core capabilities include: - Cross-repository analysis to detect insecure direct object references (IDORs), broken access control, and authentication bypasses - Runtime exploitability validation that distinguishes theoretical findings from confirmed exploitable vulnerabilities (RCE, SQLi, XSS, secrets exposure) - Detection of MFA and CAPTCHA bypass chains - AI-assisted remediation guidance - Native integration with GitHub and GitLab CI/CD pipelines The platform targets OWASP Top 10 vulnerabilities and business logic flaws, with particular emphasis on authorization bugs and broken access control, which the company notes account for nearly half of high-severity security findings. It is positioned for security teams and product security engineers who want to reduce noise from traditional SAST/DAST tooling. DefendLab integrates directly with source code repositories, including private ones, and requires no additional installation beyond CI/CD pipeline setup. The company was founded by former security practitioners from Microsoft, Oracle, EY, and Salesforce. Clients include Salesforce, Coupang, Braze, and Temporal.io.