Solutions

Security findings designed for the people who must act on them.

Neural Labs is intended for organizations that need source-code findings to connect security review with engineering action.

Intended users

Engineering teams

Give developers a reviewable explanation of the issue, the affected location, supporting evidence, and a remediation direction instead of an opaque alert.

Security teams

Organize technical review around severity, evidence, and reasoning. The intended outcome is a clearer handoff between the person validating risk and the person changing code.

DevSecOps teams

Use a discrete scan-and-report workflow to support repeatable handling, internal review, export, and deletion while the product matures toward broader integration options.

Initial use cases

  • Security review of a bounded code sample: inspect reproducible findings before remediation work begins.
  • Developer remediation support: translate a detected pattern into code context and a practical next step.
  • Internal report workflow: export structured findings for authorized review and follow-up.
Current scope

These are intended organizational use cases, not claims of existing customer deployments. The private beta currently demonstrates the workflow with bundled demonstration data and does not accept customer repositories.

Explore the product workflow