Idea
An autonomous multi-agent AI platform that performs scalable web application penetration testing for security teams and developers.
Research Paper
Core Innovation
This paper introduces MAPTA, a multi-agent AI system that coordinates large language models with tool-grounded execution and exploit validation to autonomously identify web vulnerabilities. Unlike prior tools, MAPTA integrates exploit validation to confirm findings and reduces operational costs while maintaining high success rates on common web security issues. It demonstrates practical impact by discovering critical vulnerabilities in real-world open-source projects.
Market Size (TAM)
$10–20B TAM, $2–5B SAM; assumption: growing demand for automated cybersecurity tools and penetration testing services in enterprises and open source ecosystems.
Potential Customers & Pain Points
- Security Teams Needing Automated Vulnerability Detection
- Web Developers Requiring Scalable Security Audits
- Open Source Projects Seeking Continuous Security Validation
- Enterprises Facing High Costs in Manual Penetration Testing
Business Model
Subscription-based SaaS platform with tiered pricing for enterprises and developers; potential for API access and consulting services.
Competitive Landscape
- Cobalt
- Synack
- Netsparker
Implementation Challenges
- Trust and accuracy of AI-generated exploits
- Integration with existing security workflows
- Regulatory and compliance acceptance
Validation Strategy
- Pilot deployments with security teams in mid-size enterprises
- Benchmark MAPTA against existing penetration testing tools on standard vulnerability datasets
- Collaborate with open-source projects to identify and remediate real vulnerabilities
Research Paper Overview
Multi-Agent Penetration Testing AI for the Web
Summary
MAPTA is a multi-agent AI system that autonomously assesses web application security by orchestrating large language models with tool-grounded execution and exploit validation. It achieves high success rates on common vulnerabilities like SSRF, misconfiguration, broken authorization, and injection attacks, while maintaining low operational costs. MAPTA has discovered critical real-world vulnerabilities in popular open-source projects, demonstrating practical and scalable security auditing for AI-generated code.