Code security | Firemind
Code security

Findings with the evidence attached.Fixes in your own style.

Your repositories read as an application security engineer would read them, with fixes raised as pull requests that match how your team already writes.

GitHub, GitLab and Bitbucket
Evidence and attack path per finding
Confidence stated
Pull requests in your style
Engineer review before merge
Run on our own platform
The problem

Security findings from scanners arrive in the thousands and mostly go unread.

The ones that matter are buried, and fixing them means an engineer finding time between features.

The IT Operations Engine reads the repository itself, produces findings with the evidence and the attack path attached, and raises the fix as a pull request in the style of the codebase.

What makes a finding worth reading

  • The affected paths and the evidence, so the finding can be checked rather than taken on trust
  • An attack scenario, so the impact is concrete instead of a severity label
  • A recommendation and a validation step, so closing it is not a research project
  • Confidence stated honestly, including when the engine is unsure
  • A fix raised as a pull request in the style of the codebase, not generated from scratch
What we do

Read the repository, then write the fix the way your team would.

The engine clones the repository and assesses it as an application security engineer would, then raises the fix as a pull request written to match the patterns already in the repository. We run this on our own platform. Every incident on it becomes a pull request that our engineers review and merge.

GitHub
GitLab
Bitbucket
Dependencies and secrets
Containers and IaC

Find, fix, keep green

    • Find - The engine clones the repository and assesses it. Dependencies, secrets, authentication and authorisation, injection paths, unsafe deserialisation, cryptography, CI/CD configuration, containers and infrastructure code. Each finding carries the affected paths, the evidence, the impact, an attack scenario, a recommendation and a validation step. It does not invent vulnerabilities. When it is unsure it says so and marks the confidence accordingly.
    • Fix - Dependency updates and code changes raised as pull requests, written to match the patterns already in the repository rather than generated from scratch. We run this on our own platform. Every incident on it becomes a pull request that our engineers review and merge.
    • Keep green - Scheduled analysis of errors and findings, turned into issues and pull requests on a cadence, so the backlog does not grow between reviews.

Want the findings report for one repository?

Read-only to start. The first pull request follows once you have seen it.

Scope a pilot →
How it starts

One repository, read-only.

The findings report is the first deliverable. Nothing is raised against your codebase until you have read it.

  • One repository, read-only

    The engine clones a single repository and assesses it across dependencies, secrets, authentication and authorisation, injection paths, cryptography, CI/CD configuration, containers and infrastructure code.

    • No changes raised in this phase
    • Confidence marked where the engine is unsure
    • Vulnerabilities are not invented to fill a report
  • The findings report

    Each finding carries the affected paths, the evidence, the impact, an attack scenario, a recommendation and a validation step, so it can be checked rather than taken on trust.

    • Evidence and attack path per finding
    • A validation step for each recommendation
    • Ranked so the buried ones surface
  • The first pull request

    Once you have seen the report, fixes are raised as pull requests written to match the patterns already in the repository. Every one is reviewed by an engineer before it merges.

    • Written in the style of your codebase
    • Every change is a pull request you can decline
    • Scheduled analysis keeps the backlog from growing
What stays with you

Every pull request is reviewed by an engineer before it merges.

Your standards for what is acceptable stay yours.

You gain:

  • GitHub, GitLab and Bitbucket are supported.
  • The engine will not fix things you did not ask about. Every change is a pull request you can decline.
  • Scheduled analysis turns errors and findings into issues and pull requests on a cadence, so the backlog does not grow between reviews.

FAQ

Questions.

GitHub, GitLab and Bitbucket.

No. Every change is a pull request you can decline.

Start with one repository, read-only.

The findings report is the first deliverable. The first pull request follows once you have seen it, and every change is one you can decline.

Your benefits:

  • Evidence attached - paths, impact, attack scenario, validation step.
  • Your style - fixes written to match the repository.
  • Engineer reviewed - every pull request, before it merges.
  • Run on our own - platform, incident by incident.

What happens next?

Talk.

A focused discussion about the repositories and what you already scan.

Assess.

One repository, read-only, and a findings report with the evidence attached.

Fix.

Pull requests in the style of your codebase, reviewed by an engineer.

No obligation. Just a focused discussion about your repositories.

We'll only use your details to respond to your enquiry. No newsletters unless you ask for them.