DefendLab
DefendLab provides agentic application security testing that uncovers business logic flaws like IDORs, broken access control, and authentication bypasses, which traditional SAST/DAST tools miss. The platform uses a mixture-of-agents consensus mechanism to reduce noise by 90% while delivering 3x more security signal, and validates every finding at runtime to prove exploitability. It integrates natively with GitHub and GitLab CI/CD pipelines, providing AI-assisted remediation and evidence-based vulnerability proofs directly in the developer workflow.
- Cybersecurity
- Developer Tools
- AI Agents
- Artificial Intelligence
- Software Only
Funding
Raised to date
$120KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
Traditional SAST and DAST tools often miss business logic flaws such as IDORs, broken access control, and authentication bypasses, which now represent nearly half of all high-severity security findings. These tools generate excessive false positives and lack the cross-repository context needed to detect vulnerabilities that span multiple application components.
Solution
DefendLab provides agentic application security testing that uses a mixture-of-agents approach to reach consensus on findings, replacing SAST false positives with evidence-based results. The platform pulls cross-repository context to detect IDORs, broken access control, and authentication bypasses that repo-bound tools miss, then validates every finding at runtime to prove exploitability. It integrates natively with GitHub and GitLab CI/CD pipelines, running AI-powered scans that reason about code rather than merely matching patterns. When vulnerabilities are confirmed, DefendLab delivers evidence-based vulnerability proofs and AI-assisted remediation guidance directly within the developer workflow.
Target Audience
Security teams and AppSec leaders at software companies who need to identify and remediate business logic vulnerabilities in their applications before production release.
Features
- Mixture-of-agents consensus mechanism that reduces noise by 90% while delivering 3x more security signal
- Cross-repository analysis engine that detects IDORs, broken access control, and authentication bypasses spanning multiple codebases
- Runtime exploitability validation that separates theoretical findings from confirmed exploitable vulnerabilities including RCE, SQLi, XSS, and secrets exposure
- Detection coverage for OWASP Top 10 and business logic vulnerabilities including MFA and CAPTCHA bypass exploit chains
- Native GitHub and GitLab CI/CD integration with AI-assisted remediation and evidence-based vulnerability proofs