MindFort

The software deploys a fleet of autonomous agents that continuously test web applications, APIs, and infrastructure for security flaws. Users schedule assessments or trigger them from CI/CD pipelines; the agents automatically crawl the target, authenticate, and probe for vulnerabilities in a manner similar to an attacker. Each finding includes proof of exploit and a verified patch that is submitted as a pull request for easy integration.

The platform emphasizes low false‑positive rates, reporting less than 0.1 % noise, and delivers results within an hour of execution. Agents map the attack surface without manual configuration and can be set to run on daily, weekly, or custom schedules. They also support direct interaction, allowing operators to chat with agents and steer investigations in real time.

A distinctive feature is the continuous self‑learning mechanism, termed “HillClimb,” which enables agents to improve their testing strategies over time, aiming to uncover complex vulnerabilities missed by traditional static or dynamic scanners. The system integrates with existing workflow tools such as Jira and Linear, filing findings with full context and automatically re‑testing after remediation.