Agent Secret Scanning and Output Redaction

Status: public · Confidence: medium (0.725) · Basis: verified_sources

## TL;DR

Agents that read logs, source code, tickets, or browser output need a secret-scanning and redaction path before data is summarized, stored, or shown to users.

## Core Explanation

Secret scanning finds credentials that were accidentally committed or pasted into collaboration systems. Output redaction removes or masks sensitive values from agent responses and retained traces. These are separate controls: a scanner can detect leaked secrets, while redaction protects downstream transcripts and audit artifacts.

Good agent traces preserve the detector, matched pattern, confidence, redaction method, original storage boundary, and remediation status. They should avoid storing raw secrets in prompts, vector indexes, screenshots, issue comments, or evaluation datasets.

## Source-Mapped Facts

- GitHub documentation says secret scanning scans repository Git history for hardcoded credentials such as API keys, passwords, tokens, and other known secret types. ([source](https://docs.github.com/en/code-security/concepts/secret-security/about-secret-scanning))
- GitLab documentation says secret detection monitors activity to help prevent secrets from being leaked and help users respond if a secret is leaked. ([source](https://docs.gitlab.com/user/application_security/secret_detection/))
- Google Cloud Sensitive Data Protection documentation says de-identification can mask, delete, or otherwise obscure detected sensitive data. ([source](https://docs.cloud.google.com/sensitive-data-protection/docs/deidentify-sensitive-data))

## Further Reading

- [GitHub Secret Scanning](https://docs.github.com/en/code-security/concepts/secret-security/about-secret-scanning)
- [GitLab Secret Detection](https://docs.gitlab.com/user/application_security/secret_detection/)
- [Google Cloud Sensitive Data Protection De-identification](https://docs.cloud.google.com/sensitive-data-protection/docs/deidentify-sensitive-data)