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Tracked since2026
0 reviews trackedThe Bottom Line
Entry price
Free plan available, paid tiers above
Biggest pro
Significantly reduces Mean Time To Remediation (MTTR) by fixing issues in minutes.
Biggest con
Requires trust in autonomous agents to make changes to production environments.
TL;DR - MindFort AI (YC X25)
- Deploys autonomous agents for continuous vulnerability testing and automated patching.
- Provides verified code patches, integrates with development workflows, and remediates cloud/network configurations.
- Offers both on-demand AI pentests and continuous AI Red Team operations with adaptive learning.
Pricing: Free plan available
Best for: Growing teams
What is MindFort AI (YC X25)?
MindFort AI deploys a fleet of autonomous security agents that continuously test products for vulnerabilities and automatically patch them, often within minutes. These agents operate by mapping the attack surface, probing applications, APIs, and infrastructure like an attacker, and then providing verified patches as pull requests. The system integrates seamlessly into existing workflows, triggering security assessments on every push or deploy, and filing findings with full context into tools like Jira and Linear.
The platform offers two deployment methods: AI Pentests for point-in-time assessments and AI Red Team for continuous, adaptive adversarial probing. MindFort agents go beyond detection by providing automated remediation across code, cloud infrastructure, and network configurations. This includes generating validated code patches, filing tickets with automatic re-testing, and directly remediating misconfigured cloud resources and network policies. The Agentic Control System provides a version-controlled audit trail for all agent-made changes, ensuring control and compliance.
Available on: Web
Pros & Cons
Pros
- Significantly reduces Mean Time To Remediation (MTTR) by fixing issues in minutes.
- Automates the entire security lifecycle from discovery to patching, requiring zero manual effort.
- Achieves a very low false positive rate (<0.1%) with verified exploits and reproduction steps.
- Continuously learns and adapts to improve testing and remediation effectiveness over time.
- Integrates deeply with existing development and security workflows (CI/CD, Jira, GitHub PRs).
Cons
- Requires trust in autonomous agents to make changes to production environments.
- Initial setup and integration with complex enterprise environments might require some effort.
- The advanced capabilities and continuous nature may be overkill for very small or simple projects.
Preview
Key Features
Autonomous Security AgentsAutomated Vulnerability Remediation (Code, Cloud, Network)Continuous Learning and Adaptive Attack Strategies (HillClimb)AI Pentests and AI Red Team Deployment OptionsCI/CD Integration and Scheduled AssessmentsJira & Linear Integration for Findings and Re-testingAgentic Control System for Versioned Remediation ChangesAttack Surface Mapping and Discovery
Pricing Plans
Pricing checked Jun 13, 2026
Free
Free
- First turbo assessment
Essential
$199 / month
- Continuous pen testing and vulnerability reports for growing teams
- Unlimited targets
- 400 credits / month
- Detailed vulnerability reports
- Verified vulnerability exploits
Professional
$999 / month
- Unlimited agents, CI/CD triggers, and compliance-ready reporting
- Unlimited targets
- 800 credits / month
- Detailed vulnerability reports
- Automated patching (PRs)
- Verified vulnerability exploits
- Compliance-ready pen test report
- Security Strength Badge
Enterprise
Custom
- Unlimited agents, dedicated infrastructure, and enterprise controls
- Unlimited targets
- Unlimited credits / month
- Detailed vulnerability reports
- Automated patching (PRs)
- Verified vulnerability exploits
- Compliance-ready pen test report
- Security Strength Badge
Reviews
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MindFort AI (YC X25) FAQ
How does MindFort AI address software vulnerabilities?
MindFort AI deploys autonomous security agents that continuously test products for vulnerabilities by mapping the attack surface and probing applications, APIs, and infrastructure. It then automatically patches these vulnerabilities, often within minutes, and provides verified patches as pull requests.
Which teams benefit most from MindFort AI?
MindFort AI is ideal for DevOps, Security, and Testing & QA teams that need to automate their security lifecycle from discovery to patching. It helps teams significantly reduce Mean Time To Remediation (MTTR) by fixing issues rapidly and with minimal manual effort.
How does MindFort AI compare to using the OpenAI API for security tasks?
MindFort AI provides a complete, autonomous security solution with agents that actively test, detect, and remediate vulnerabilities, including generating code patches and reconfiguring cloud resources. In contrast, the OpenAI API offers a general-purpose language model interface that would require significant custom development to build similar security automation capabilities.
What kind of limitations should users consider when adopting MindFort AI?
Users need to be comfortable with autonomous agents making changes to production environments, as this is central to MindFort AI's operation. Additionally, initial setup and integration into complex enterprise environments may require some effort, and its advanced features might be more extensive than needed for very small projects.
How is MindFort AI priced?
MindFort AI is available on a free tier, allowing users to get started with its core functionalities. For more extensive usage and access to advanced features, paid plans are offered.
Can MindFort AI integrate with existing development tools?
Yes, MindFort AI integrates seamlessly into existing workflows, triggering security assessments on every push or deploy. It files findings with full context into tools like Jira and Linear and can provide verified patches as GitHub pull requests.
How does MindFort AI ensure control over automated changes?
MindFort AI ensures control over automated changes through its Agentic Control System, which provides a version-controlled audit trail for all modifications made by the agents. This system helps maintain compliance and transparency regarding agent-made changes.
Source: mindfort.ai