FengrenLab focuses on training dedicated small parameter models for penetration testing, enabling local deployment and operation even on ordinary computers.
AI at the core — covering the full penetration testing lifecycle
AI-driven subdomain enumeration, port scanning, fingerprinting and attack-surface mapping — complete asset profiles in minutes.
LLM reasoning over an attack-defense knowledge graph generates multi-hop attack chains, simulating real-world lateral movement and privilege escalation.
AI-assisted PoC generation and safe verification of suspected vulnerabilities — dramatically lower false positives, reproducible evidence chains.
Automatic professional reports with risk grading, remediation guidance and compliance mapping. Export to PDF / Word.
Scheduled tasks and CI/CD integration — automatic AI re-scans whenever assets come online or change.
Recon, vulnerability and exploitation agents collaborate like a real red team for coordinated, autonomous operations.
From labor-intensive testing to AI-led penetration testing
The model is trained on massive attack-defense corpora, CVE databases and real red-team experience. It understands business context, decides test strategies autonomously, and acts like a senior penetration engineer.
Intelligent security testing tailored for every industry
Meet financial regulation and compliance requirements with AI-driven deep testing of core trading, online banking and open APIs.
CIP protection combining threat hunting and AI-powered offense-defense exercises for combat-ready defense.
Continuous security validation for cloud-native, microservices and massive APIs — native DevSecOps integration.
Specialized security testing for industrial protocols, IoT devices and edge nodes.
Contact us for a live demo of the AI penetration testing model
