MindFort AI is a technology company.
MindFort provides a fully autonomous AI penetration testing platform that continuously finds vulnerabilities in applications and APIs, ensuring security without blind spots.
MindFort AI has raised $500K across 1 funding round.
MindFort AI has raised $500K in total across 1 funding round.
MindFort AI has raised $500K in total across 1 funding round.
MindFort AI's investors include Sierra Ventures, Soma Capital, Y Combinator, Pete Koomen.
MindFort AI is a San Francisco-based startup founded in 2025 that builds an AI-powered platform for autonomous red teaming of web applications. It continuously identifies, exploits, validates, triages, and patches vulnerabilities—covering OWASP Top 10 issues, business logic flaws, and zero-days—using custom AI agents that deliver human-quality results without manual intervention.[1][2][3][4] The platform serves software development teams, DevOps engineers, SOCs, startups, SaaS companies, and enterprises, solving the problem of slow, resource-intensive traditional penetration testing that fails to match agile development and rising cyber threats.[1][2][3] It integrates seamlessly with tools like GitHub, Jira, Linear, and Slack, offers usage-based pricing with discounts for startups, and scales to apps from 1 to 100,000 pages while generating compliant pen test reports.[1][4]
Early growth includes Y Combinator backing and real-world validation: the platform finds production vulnerabilities missed by other tools, succeeds in bug bounties, and excels on human pen testing benchmarks, accelerating secure development rather than slowing it.[3]
MindFort was founded in 2025 by Brandon, Sam, and Akul in San Francisco, emerging from their shared realization that AI agents must counter the "tidal wave" of AI-generated code and broken security practices plaguing engineering teams.[1][3] Brandon, a former PM at ProjectDiscovery (where he scaled Nuclei to enterprise) and NetSPI (building AI tools for pen testers), gained deep customer insights into scaling attack surface security.[3] Akul, with a master's from University of Illinois Urbana-Champaign, co-authored papers on LLMs for cybersecurity attacks, created hacking agent benchmarks, and red-teamed at OpenAI and Anthropic.[3] The trio met through overlapping work in offensive security, AI, and product development, pivoting from human-centric tools to fully autonomous agents that work 24/7.[2][3] Pivotal early traction came from deploying agents that outperform legacy scanners in production and benchmarks, positioning MindFort as a Y Combinator company.[3]
MindFort stands out in automated security testing through end-to-end AI autonomy, outperforming point-in-time scanners and traditional firms:
| Feature | MindFort | Traditional Pen Testing / Scanners |
|---|---|---|
| Testing Frequency | Continuous 24/7 | Periodic/manual |
| Remediation | Auto code patches | Manual fixes |
| Coverage | Complex flaws, business logic | Basic scans |
| Speed/Scale | Minutes, any app size | Days/weeks, limited |
[1][2][3][4]
MindFort rides the AI security arms race, where exploding AI-generated code (democratizing development) collides with sophisticated threats, forcing teams to sacrifice speed for security—costing ~20% of engineering time.[3][6] Timing is ideal post-2025 AI boom: custom models enable agentic security that scales with agile/DevOps cycles, automating what humans can't match in volume or velocity.[1][2][3] Market tailwinds include rising breaches, compliance mandates (e.g., pen test reports), and shift from reactive scanning to proactive, autonomous defense—echoed in competitors like AI pen testing tools but differentiated by patching.[2][4][5] It influences the ecosystem by accelerating secure shipping for startups/SaaS, integrating into security stacks via API, and proving AI can flip security from bottleneck to accelerator, potentially redefining red teaming standards.[3][4][6]
MindFort is poised to dominate autonomous security as AI codegen proliferates, expanding from web apps to networks/infra while deepening enterprise integrations and model capabilities.[3][6] Trends like agentic AI, zero-trust automation, and regulatory scrutiny on supply-chain risks will fuel growth; expect partnerships with cloud giants, bug bounty expansions, and potential acquisitions by cybersecurity incumbents. Its Y Combinator momentum and production wins signal rapid scaling—turning today's "always-on security team" into tomorrow's industry norm, ensuring AI builds don't become exploit playgrounds.[3] This 2025 upstart exemplifies how offensive AI agents secure the AI future.
MindFort AI has raised $500K across 1 funding round. Most recently, it raised $500K Seed in April 2025.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Apr 1, 2025 | $500K Seed | Sierra Ventures, Soma Capital, Y Combinator, Pete Koomen |