aicoolies logo
Gitleaks logo

Gitleaks

Open-source secret detection for Git repositories

Share
open-sourceOpen Source
Visit Website →

Gitleaks is an open-source secret scanner with 27K+ GitHub stars that detects hardcoded passwords, API keys, tokens, and private keys in Git repositories, files, directories, and full Git history. It integrates via GitHub Actions, pre-commit hooks, CI/CD pipelines, and single-binary local scans.

We have a review for this tool

A detailed review by the aicoolies team — click to read

Gitleaks scans Git repositories for hardcoded secrets using a comprehensive set of detection rules covering API keys, passwords, tokens, private keys, and other sensitive credentials across dozens of service providers. Unlike simple regex scanners, Gitleaks understands Git history and can scan every commit to find secrets that were committed and later removed but remain in the repository history where attackers can find them.

The tool integrates into development workflows at multiple points: as a pre-commit hook that prevents secrets from being committed locally, as a CI/CD pipeline step that blocks merges containing credentials, or as a scheduled scan that audits existing repositories. Configuration via a TOML file allows teams to define custom rules, allowlists for false positives, and path exclusions for generated files.

With over 16,000 GitHub stars, Gitleaks is one of the most widely adopted secret detection tools in the developer security ecosystem. It is frequently paired with AI-driven triage tools to prioritize findings by risk level. The tool is completely free and open-source, written in Go for cross-platform performance, and regularly updated with new detection patterns for emerging cloud services and API providers.

Pricing

Free and open-source (MIT License)

Platforms

Git, GitHub Actions, GitLab CI, any CI/CD

Categories

Tags

Use Cases

Alternatives

Related Tools

Agent Governance Toolkit logo

Agent Governance Toolkit

Microsoft’s public-preview runtime governance toolkit for policy, identity, sandboxing, audit, and MCP security around AI agents.

Agent Governance Toolkit is Microsoft’s MIT-licensed public-preview toolkit for governing AI agent runtimes. It adds policy enforcement, zero-trust identity, execution sandboxing, audit, reliability, and MCP security-gateway patterns around tool calls and autonomous actions, helping platform teams move beyond prompt-only guardrails while preserving architecture review requirements.

open-sourceOpen SourceTelemetry
Baz logo

Baz

Telemetry-aware AI code reviewer that checks how pull requests may affect real services.

Baz is an AI code-review platform focused on production-aware pull requests. Instead of only reading the diff, Baz connects code changes to application telemetry so reviewers can understand what endpoints, services, and runtime behavior may be affected. That makes it a useful complement to existing AI PR bots when the question is not just whether a change looks correct, but whether it could break a live system.

freemiumTelemetry
rampart

Rampart

Microsoft’s pytest-native red teaming framework for turning AI agent safety findings into CI tests.

RAMPART is an open-source Microsoft framework for safety and security testing of agentic AI applications. It brings red-team findings into a pytest-native workflow so teams can turn prompt injection, unsafe tool use, and behavioral boundary failures into repeatable regression tests. The strongest aicoolies angle is developer workflow: RAMPART makes agent safety part of CI/CD instead of a one-off security review.

open-sourceOpen Source
Statewright logo

Statewright

State-machine guardrails for controlling which tools AI coding agents can use at each phase.

Statewright is a guardrail layer for AI coding agents that uses explicit state machines to control what an agent can do at each stage of a workflow. Instead of relying only on prompt instructions, teams can model phases such as plan, implement, test, and review, then constrain tool access for clients like Claude Code, Codex, Cursor, opencode, and related MCP workflows.

open-sourceOpen Source
Magika logo

Magika

AI-powered file-type detection at Google scale

Open-source AI-powered file-type detection tool from Google that uses a custom deep-learning model under a few megabytes to identify more than 200 binary and textual content types in milliseconds, even on a single CPU. Magika ships as a CLI, Python package, JavaScript/TypeScript library, and an ONNX model, achieves around 99% accuracy on its test set, and is already used at Google scale across Gmail, Drive, and Safe Browsing as well as by VirusTotal and abuse.ch.

freeOpen Source
Trent AI logo

Trent AI

Agentic AI security posture management

Trent AI is a specialized security platform for agentic AI applications providing AI Security Posture Management that compounds with every development cycle. Scans, judges, mitigates, and evaluates AI agent security detecting threats traditional tools miss including prompt injection attacks, tool misuse, unintended autonomous actions, data exfiltration through agent chains, and privilege escalation. Offers continuous assessment with remediation plan execution through Claude Code.

paid

Used in Stacks

Comparisons