Skip to main content
NewIntroducing NexBench: Evaluating Models for Cyber

Offensive security swarms.

AI agents that attack your live applications in parallel, prove exploitable vulnerabilities, and help you fix them at scale.

Trusted by teams at
Origin
Fortune 500
Birth Model
Bluejay

See where an attacker can get through.

Swarms of AI agents attack your live applications the way an attacker would, then prove, fix, and retest what they find.

Legacy solutions

Code scanners, DAST, and the annual pentest

  • A queue of possible issues
  • A snapshot from last quarter
  • Fixes nobody verifies

MindFort

  • Exploits proven in your live app
  • Testing that runs with every release
  • Fixes retested with the original attack

An AI red team for your live applications

Hack your live running applications

Agents attack the running application the way an attacker would, and when you connect the repo, they trace each finding back to the code that caused it.

MindFort agent swarms test your live application, validate working attack chains, and deliver exploit proof or a patch. Source code is optional.

Results in hours

Verified findings, not a PDF six weeks later.

to verified findings
< 8 hrs
to first deployment
< 10 min

Traditional pentests: 2-6 weeks

Highly scalable testing

Thousands of agents run in parallel. Coverage scales with your attack surface, not your headcount.

Full MCP & integrations

Start tests from CI/CD, push findings to your tracker, and drive agents through our API and MCP.

  • GitHub
  • Linear
  • Jira
  • Slack

Validated findings

Agents validate every finding with a working exploit.

false positives
< 1%
with proof of exploit
100%

Every finding ships with steps to reproduce

Each attack teaches the next.

Agents build on what they learn about your application, its permissions, and its defenses. Each run starts with that context.

MindFort’s performance across internal benchmarks (2026)

Unseen Internal Benchmark
OWASP Juice Shop
60%
40%
20%
0%
31%
27%
52%
39%
pass@1pass@3

From attack to verified fix.

New Assessment form choosing run thoroughness between Balanced and Deep methods

Test the live application

Give the AI red team your apps, APIs, and test accounts. Agents explore how your application works and test its defenses.

Findings dashboard listing severity-tagged vulnerabilities discovered by the agents

Prove the finding

Agents confirm what an attacker can access or change. Every finding includes a working exploit and steps to reproduce it.

Create Patch form selecting a repository and base branch to generate a pull request fix

Verify the fix

The AI engineering team opens a patch pull request. After deployment, MindFort repeats the attack to check that the fix holds.

Keep testing as you ship.

New features create new ways in. Run recurring pen tests to find exploitable changes and verify deployed fixes.

First Results

Hours

Coverage

24/7

False Positives

<1%

Setup

Minutes

Find your next vulnerability before an attacker does.