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MindFort

Application Security

Y Combinator-backed swarms of AI agents that continuously attack live applications and ship validated exploits instead of scanner alerts.

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60/100Incremental Innovator

Overview

MindFort is an offensive-security startup whose AI agents attack a customer’s live applications and APIs in parallel, attempting real exploit chains against the application’s actual defenses rather than flagging theoretical weaknesses from a static scan. Each finding ships with a working proof of exploitation and reproduction steps, and the platform can trace a finding back to the specific code that caused it when a repository is connected.

The platform runs recurring, continuous penetration tests rather than a point-in-time engagement, verifies that shipped fixes actually close the exploit, and integrates into existing engineering workflows through CI/CD, API, and MCP connections, routing findings into tools like GitHub, Linear, Jira, and Slack. The company says results typically arrive in hours rather than the two-to-six weeks associated with traditional manual pentests, with under 1% false positives.

Founded in 2025 by CEO Brandon Veiseh and CTO Akul Gupta, MindFort went through Y Combinator’s Spring 2025 (X25) batch and is based in San Francisco. It raised a seed round of just over $3 million led by Soma Capital, with participation from Y Combinator, 468 Capital, CRV, Sandwith Ventures, and Blast.

Innovation Matrix Assessment

Innovation Velocity 7/10

Shipped a working continuous-pentest product with CI/CD and MCP integrations within roughly a year of founding, typical of fast YC-backed iteration.

Operational Value 7/10

Continuous, validated-exploit testing that integrates into existing dev tooling meaningfully shortens the multi-week traditional pentest cycle for AppSec and engineering teams.

Market Momentum 5/10

Y Combinator-backed with a named seed lead (Soma Capital) and a visible customer logo list, though most named logos are smaller companies rather than large enterprises.

Category Disruption 6/10

Producing validated, working exploits via parallel AI agents is a real shift from legacy DAST-scanner and manual-pentest models, though the space of AI pentesting startups is becoming crowded.

Real-World Efficacy 4/10

The 'under 1% false positives' and hours-not-weeks claims are vendor-published without independent benchmarking; named customer logos are the main available corroborating signal.

Enduring Relevance 7/10

Continuous, AI-driven validation of real exploitability is a direction most of the AppSec market is moving toward, likely to remain relevant for years.

Why CISOs Should Care

Replaces point-in-time pentest engagements with continuous, validated-exploit testing that plugs directly into existing engineering workflows.

What Makes It Different

Agents produce working proof-of-exploit evidence against live applications rather than static-scan findings that still require manual triage and validation.

The Matrix Verdict

60/100 — INCREMENTAL INNOVATOR

An Incremental Innovator: a fast-moving, YC-backed entrant with a technically credible approach to continuous validated pentesting, but still early with unverified efficacy claims and a mostly smaller-company customer base.

Editorial Note: Claims vs. Verified Findings

False-positive-rate and speed claims are vendor-published and not independently benchmarked; named customer logos were not individually confirmed as paying customers.

Sources

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