Can AI help review security findings?

AI can help a security team organise findings, identify missing context and draft questions for an engineer. Its output is still a proposal: a plausible explanation or a valid-looking report does not prove that a vulnerability exists or has been fixed.

Useful work for an AI assistant

A reviewer can give a model an approved, limited set of material and ask it to summarise a finding, identify the affected component, suggest a reproduction plan or point out evidence that needs checking. A model may also help prepare remediation questions for the development team. These tasks work best when the expected output and available evidence are explicit.

For example, a model reviewing a permission issue could list the account, resource and endpoint involved and suggest checking both authorised and unauthorised access. An engineer must still verify the actual request, response, session and relevant code or configuration.

Why evidence needs independent verification

Models can misquote, overlook a condition or confidently infer a conclusion from incomplete material. Verify quotations against their sources, distinguish observed facts from assumptions and allow an inconclusive result when information is missing. Use executable checks or deterministic validation where practical; let a qualified person decide what a finding means and how to act on it.

Do not give a model authority to declare an application safe or to perform tests outside an agreed scope. OWASP's guidance on misinformation in LLM outputs recommends validation and human review for consequential uses.

Choose the right data boundary

Review what code, credentials, personal data and customer evidence may be processed, where the model runs and who can access its outputs. A local model can keep processing within an approved environment, but local deployment alone does not guarantee correctness or security. Evaluate the entire workflow against representative cases.

PolderLabs can help design a tailored review workflow around your codebase, evidence and security requirements. Explore tailored security.