AI-Powered Agentic Penetration Testing Product Development

We are building, an AI-powered Autonomous Penetration Testing Platform for enterprise web application security. The platform is designed to automate authorized security assessments using AI agents, modern security tools, and intelligent decision-making. Our long-term vision is to create an enterprise-grade B2B SaaS platform that performs continuous security validation, vulnerability verification, and AI-assisted remediation. Phase 1: Key Deliverables User authentication & organization management Target and project management Integration with security tools (Nuclei, Katana, OWASP ZAP, FFUF, etc.) Automated web application scanning Vulnerability management dashboard AI-generated executive & technical reports PDF report generation AWS deployment with Docker-based architecture Phase 2: Key Deliverables Multi-agent AI architecture Planner Agent (attack planning) Recon Agent (asset discovery) Enumeration Agent (attack surface analysis) Attack Agent (tool orchestration & intelligent testing) Verification Agent (false-positive reduction) Risk Analysis Agent Remediation Agent Report Agent RAG-based security knowledge base (OWASP, CWE, CVE, CAPEC, etc.) LangGraph-based workflow orchestration Who Should Apply: Software Development Agencies only Proven experience building enterprise SaaS products Strong expertise in AI/LLM integration, Python (FastAPI), Next.js, Docker, AWS, and scalable system architecture Experience with agentic AI frameworks (e.g., LangGraph) is a strong advantage Ability to work as a long-term technology partner Please note: We are not considering individual freelancers for this project. Only established development agencies with relevant experience should apply. Our goal is to build a long-term partnership for the continued development and scaling