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bveiseh

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founder of mindfort

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Thanks so much.

Great question, it is not required but we recommend it. If you don't include the source code, it would be black box. The agents won't know what the app looks like from the other side.

The agents identify vulns using known attack patterns, novel techniques, and threat intelligence.

Thanks so much.

We want to solve the entire vulnerability lifecycle problem not just finding zero days. MindFort works from detection, validation, triage/scoring, all the way to patching the vulnerability. While we are starting with web app, we plan to expand to the rest of the attack surface soon.

So you would point it to any web app available over the internet. There is an option to have a private deployment in your VPC to test applications that are not exposed to the internet. You can also schedule assessments so that the system runs at a regular interval (daily, weekly, bi-weekly, etc)

Appreciate it!

The agents will hone in on a potential vulnerability by looking at different signals during its testing, and then build a POC to validate it based on the context. We don't have any data to share publicly yet but we are working on releasing benchmarks soon.

Everything runs in a private VPC and data is encrypted in transit and at rest. We have zero data retention agreements with our vendors, and we do offer single tenant and private cloud deployments for customers. We don't retain any customer code once we finish processing it, only the vulnerability data. We are also in process of receiving our SOC 2.

Patches are not auto applied. We can either open up a PR for human review or can add the necessary changes to a Linear/Jira ticket. We have the ability schedule assessments in our platform, and are working on a way to integrate more deeply with CI/CD.

Thanks so much!

In regards to the scale, we absolutely can assess at that scale, but it would require quite a large enterprise contract upfront, as we would need to get the required capacity from our providers.

The system is designed to safely test exploitation, and not perform destructive testing. It will traverse as far as it can, but it won't break anything along the way.

I want to re-write the systems that manage airline bookings, ticketing, and flight+crew management.

Airlines are always facing issues with ticketing and mismanagement of assigning air crews and pilots.. introducing a modern ML accelerated flow to determine how to balance ticketing with crews for flights, taking into account historical numbers of passengers for that time/route could have an enormous impact on airline efficiency.