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DefendLab

Name: DefendLab
Author: DefendLab

An AI-native application security solution that analyzes code to uncover vulnerabilities and business-logic flaws by running AI-powered scans, validating exploitability at runtime, and delivering evidence-based remediation with actionable proofs, all integrated into CI/CD pipelines with native support for GitHub and GitLab. It targets security teams, developers, and DevSecOps across organizations, solving problems such as IDORs, broken access control, authentication and MFA bypasses, injections, RCE/SQLi/XSS, and other OWASP Top 10 and logic vulnerabilities by providing cross-repo context, consensus among multiple agents to reduce noise, high-precision signals, and clear remediation guidance.

DefendLabは次の場所にあります Application Security Testing (SAST/DAST) カテゴリー。

DefendLab に最も類似した製品は次のとおりです。

Pristan →

XploitScan →

Xygeni →

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DefendLab 主な特徴

IDOR & Broken Access
It helps you focus on important issues by reducing unnecessary noise, saving your team time.
MFA & Captcha Bypass
It detects problems where attackers can skip authentication steps like multi-factor authentication.
Advanced Code Security
Defend Lab uses AI to find serious problems and mistakes in your code.
Consensus Over Guesswork
Multiple AI signals work together to show only the important issues in your code.
Seamless Dev Integration
You can connect it with your current tools and manage security issues directly in your workflow.
Injection & Code Execution
It scans for common security issues like SQL injection and XSS with high accuracy.
Understands Business Logic
It understands the context of your code to find critical problems that other tools might miss.
Built for Real-World Threats
Defend Lab finds flaws that can lead to real security breaches that other scanners might overlook.
90% Less Noise, 100% More Signal
It reduces false alarms by up to 90%, helping you focus on what really needs fixing.

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