Harden the systems
nobody wants to touch

Agents pen test the running application from the outside, so legacy apps get covered whether or not anyone still knows the code.

Try MindFort →Request a Demo

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Coverage for the apps that outlived their teams.

No source access required. No rewrite required.

Capability 01

Test the running app, not the repo

Agents attack the live application the way an intruder would. If it answers HTTP, it can be tested.

Capability 02

Map what is still exposed

Agents enumerate forgotten hosts, old admin panels, and internal tools that ended up on the internet, then keep watching for drift.

Capability 03

Get a patch even without an owner

Where a repository exists, agents open the pull request. Where it does not, findings ship with the exact request that proves them and a remediation plan for whoever inherits the system.

Capability 04

Prove the fix landed

Agents rerun the original exploit after a change ships and mark the finding fixed only when it no longer reproduces.

Built for environments with history.

Scoped targets, guardrails, rate limits, and a full audit trail, so testing never becomes the incident.

Start with the system you worry about most

Add one legacy target. First findings in hours.

First Results

Hours

Coverage

24/7

False Positives

<1%

To Remediation

Minutes

Frequently
Asked Questions

Common questions about MindFort for legacy applications.

Yes. Agents pen test the running application from the outside, the same way an attacker would. If you can grant repository access, agents also review the code and open fixes as pull requests, but it is optional.

Agents only attack targets you authorize, inside the scope and rate limits you set. Exploitation is designed to prove impact without destructive actions, and approval workflows are available for anything higher risk.

Enterprise plans include private deployment on AWS, Azure, or GCP, so agents can reach internal networks and hosts. Your data stays inside your infrastructure.

When a repository exists, agents open a pull request with the fix and a threat model. When it does not, each finding ships with the request that proves it and a remediation plan, and can be filed to Jira or Linear for whoever inherits the system.

First results land in hours, and every finding is validated with a working exploit, so false positives stay under 1%.

Harden the systemsnobody wants to touch