AI agents for continuous web application security testing
MindFort deploys autonomous AI agents to automate security testing across web applications. The stack—LangChain, LangGraph, Python, and security tools (Burp Suite, nmap, OWASP, Metasploit)—reflects a focused play at the intersection of agentic AI and application security. Active projects around LLM training for penetration testing methodology and AI security reasoning suggest the team is building proprietary models rather than wrapping existing APIs; hiring velocity is accelerating across engineering and sales as they move from product to go-to-market.
Notable leadership hires: Growth Lead
MindFort is a YC X25 company building an AI agent platform for continuous security testing of web applications. The product automates vulnerability discovery and bug detection at scale using autonomous agents, targeting engineering and security teams at companies where manual or tool-based testing has become a bottleneck. The founding team comes from top-tier security and AI organizations. The company is early-stage (founded 2025, 2–10 employees) and actively hiring across engineering, sales, and security roles.
Core stack: LangChain, LangGraph, Python, PostgreSQL, Docker, Kubernetes. Security tooling: Burp Suite, nmap, OWASP, MITRE ATT&CK, Metasploit. Model optimization: DeepSpeed, LoRa.
AI security model training, autonomous agent systems, LLM frameworks, penetration testing methodologies, inference stack optimization, and go-to-market execution.
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