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Product

Secrets Catcher

API keys in public repos. Tokens in Slack messages. Passwords in CI/CD logs. Secrets Catcher finds them before attackers do.

SaaS API-First Developer-Friendly
  • Deployment: SaaS
  • Integrations: Git, CI/CD, Chat
  • Detection: 700+ secret types
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  • 700+ Secret types detected
  • < 60s Time to first alert
  • 100% Git history coverage

The developer security gap

Developers move fast — and secrets follow them everywhere. A credential committed by accident, a token pasted into a chat message, a password that survived a git history clean-up: every one of these is an open door. Most organisations only discover the exposure after an attacker has already walked through it.

  • Developers commit secrets accidentally under deadline pressure — 'I'll remove it later' becomes a permanent exposure
  • A single AWS key in a public repository can cost millions: attackers scan GitHub continuously and respond within hours
  • CI/CD pipelines log environment variables and build secrets in plain text, often retained in build artifacts for months
  • Slack, Teams, and Confluence are full of pasted credentials shared between developers — rarely reviewed, never rotated
  • Git history retains secrets even after they are deleted from the latest commit — the full history is always scannable
  • Most organisations discover leaked secrets only after a breach notification or an unexpected cloud bill

Detection capabilities

  • Repository Scanning

    Continuous monitoring of public and private repositories for exposed secrets. Covers GitHub, GitLab, Bitbucket, and self-hosted Git instances.

  • CI/CD Pipeline Analysis

    Detects secrets leaked through build logs, environment variables, and pipeline configurations across major CI/CD platforms.

  • Collaboration Tool Monitoring

    Scans Slack, Teams, Confluence, and other collaboration platforms where developers routinely share secrets in plain text.

  • Real-Time Alerting & Remediation

    Instant notifications when a secret is exposed, with automated remediation workflows including key rotation guidance and revocation steps.

Real exposures. Real consequences.

AWS key committed to a public GitHub repository

Scenario

A developer pushes a feature branch to a public GitHub repository with an AWS access key hard-coded in a configuration file. The commit is noticed and the key is deleted within the hour — but by then the repository has been indexed by automated scanners.

Resolution

Secrets Catcher detects the key the moment the commit is pushed, fires an alert with the exact file path and commit hash, and triggers an automated remediation workflow. The key is revoked and rotated before any unauthorised API calls are made. The git history is cleaned using the provided rewrite guidance.

Database password shared in a Slack channel

Scenario

A developer pastes a production database connection string into a shared Slack channel to help a colleague debug a deployment issue. The message is never deleted. A departing employee's Slack export includes the credential months later.

Resolution

Secrets Catcher detects the credential in the Slack channel in real time and alerts the security team immediately. The database password is rotated before the message propagates further. The incident is logged and the team updates the secret-sharing policy with developer awareness training.

Service account credentials logged by a CI/CD pipeline

Scenario

A misconfigured Jenkins pipeline logs all environment variables at debug level, including a service account token with write access to the production Kubernetes cluster. The build log is accessible to all engineers in the organisation.

Resolution

Secrets Catcher scans build output continuously and flags the token exposure within seconds of the log being written. The pipeline configuration is corrected, the service account token is rotated, and audit logging is enabled on the Kubernetes cluster to check for any access using the exposed credential.

API key removed from code but still in git history

Scenario

An API key for a payment processing service is removed from the codebase following a developer offboarding review. The secret is gone from the latest commit, but the full git history — accessible to anyone who clones the repository — still contains it in a commit from eight months ago.

Resolution

Secrets Catcher's git history scanning surfaces the historical exposure during a scheduled repository audit. The payment processor API key is revoked immediately, the git history is rewritten using BFG Repo Cleaner as guided by the remediation workflow, and the repository is force-pushed with the clean history.

Why secrets leak

Developers move fast. Secrets end up in places they shouldn't — committed to repos, pasted in chat, logged by pipelines. Secrets Catcher provides the safety net your development process needs.

How Secrets Catcher works

A continuous four-stage pipeline that covers every source where secrets appear — from the moment a developer pushes code to the moment a build log is written.

  1. Scan

    Continuous monitoring across all connected sources: Git repositories (current and historical commits), CI/CD build logs, Slack and Teams channels, Confluence pages, and environment variable stores. No manual trigger required — coverage is always on.

  2. Classify

    Each detected string is matched against a library of 700+ secret type signatures covering API keys, OAuth tokens, private keys, database connection strings, and cloud provider credentials. Risk is assessed based on secret type, exposure scope, and whether the credential is still valid.

  3. Alert

    Instant notification delivered to your chosen channel — Slack, email, PagerDuty, SIEM webhook, or JIRA ticket — with full context: secret type, source location, commit hash or message ID, severity classification, and the identity of the developer or system that introduced it.

  4. Remediate

    Actionable remediation guidance generated for each exposure: step-by-step key rotation instructions specific to the affected service, git history rewrite commands where needed, and policy recommendations to prevent recurrence. Revocation status is tracked until the exposure is fully resolved.

How many secrets are already exposed in your codebase?

Request a scan