# MindFort

> MindFort is the world's first fully autonomous, end-to-end red teaming and patching platform. AI agents continuously pentest web apps, APIs, and infrastructure at any scale, finding and validating real vulnerabilities, then generating verified patches in seconds, completely unattended.

- Agents run continuously on a cadence you set, at any scale, probing targets like an attacker would, rather than point-in-time scanning.
- Each finding is validated to cut false positives, and ships with a contextual patch and a threat model explaining the fix.
- Assessment modes trade speed for depth: Balanced (200 credits, ~4 hrs, frequent/daily use), Deep (400 credits, ~6 hrs, weekly/bi-weekly), and Ultra (800 credits, ~8 hrs, pre-release and release gates). Task agents (1 credit) handle smaller, directed work like validating findings or triaging bug bounty reports, drawing from the same credit pool.
- Remediation spans code (PRs in GitHub), cloud config (AWS/Azure/GCP IAM, security groups), and issue tracking (Jira, Linear).
- For full technical and API documentation, see the separate docs site and its own llms.txt.

## Core pages

- [Home](https://www.mindfort.ai/): Overview of the platform, continuous AI pentesting, exploit validation, and automated remediation.
- [Product](https://www.mindfort.ai/product): How agents detect, validate, and remediate across code, cloud infrastructure, and network configurations.
- [About](https://www.mindfort.ai/about): Company mission, the case for autonomous security, and the founding team.
- [Support](https://www.mindfort.ai/support): Contact, demo booking, and answers to common product, pricing, and technical questions.

## Product areas

- [AppSec](https://www.mindfort.ai/appsec): AI agents test the apps you ship on every push, finding exploitable flaws in your code and running app, then opening the pull request that fixes them.
- [OffSec](https://www.mindfort.ai/offsec): Autonomous offensive security across external and internal surfaces. Agents attack your live environment around the clock, proving each finding with an exploit.
- [Vulnerability Management](https://www.mindfort.ai/vulnerability-management): Agents confirm each finding with a working exploit, rank it by what an attacker could reach, then drive it to a fix.

## Use cases

- [Continuous Pentesting](https://www.mindfort.ai/use-cases/continuous-pentesting): AI agents pentest live apps and APIs around the clock, confirming real exploits before attackers do.
- [Security Code Review](https://www.mindfort.ai/use-cases/code-analysis): Static and dynamic analysis to find exploitable flaws across source, dependencies, and the running app.
- [Business Logic Testing](https://www.mindfort.ai/use-cases/business-logic-testing): Agents chain legitimate app features into real abuse, like price manipulation, checkout bypass, and privilege escalation, that scanners can't find.
- [Attack Surface Management](https://www.mindfort.ai/use-cases/surface-management): Agents discover the domains, APIs, and forgotten environments you expose, then test them continuously as your surface changes.
- [Vulnerability Triage](https://www.mindfort.ai/use-cases/triaging): Agents validate, deduplicate, and risk-score every finding so teams only see what's real and what matters.
- [Remediation](https://www.mindfort.ai/use-cases/remediation): Agents generate, test, and open pull requests for confirmed vulnerabilities to speed up MTTR.
- [Security Reporting](https://www.mindfort.ai/use-cases/reporting): Pentest reports and audit evidence generated as agents work, exportable for SOC 2, ISO 27001, and customer security reviews.
- [Custom Security Tasks](https://www.mindfort.ai/use-cases/custom-tasks): Describe a security task in plain language and agents execute it: your playbooks, checks, and one-off investigations, on demand or on a schedule.
- [Agent Context](https://www.mindfort.ai/use-cases/context): Upload architecture docs, policies, and accepted risks, and agents apply them on the next run to cut findings you already knew about.
- [Coverage](https://www.mindfort.ai/use-cases/coverage): Agents track a security hypothesis for every part of your attack surface and re-test it each assessment, so you can prove what's been tested.

## Documentation

- [Docs home](https://docs.mindfort.ai): Setup, onboarding, assessments, findings, reporting, and integrations.
- [Docs index (llms.txt)](https://docs.mindfort.ai/llms.txt): Machine-readable index of all documentation, API reference, and MCP guides.
- [Quick Start](https://docs.mindfort.ai/quickstart): From account creation to your first completed assessment.
- [API Introduction](https://docs.mindfort.ai/api-reference/introduction): Programmatically trigger assessments, tasks, and findings via REST.
- [MCP Server](https://docs.mindfort.ai/guides/mcp): Connect Cursor, Claude Code, or Codex to MindFort findings.

## Optional

- [Y Combinator profile](https://www.ycombinator.com/companies/mindfort): Company background, team, and hiring (YC X25).