---
title: "gitleaks vs agentic_security"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/gitleaks-gitleaks-vs-msoedov-agentic-security"
tools: ["gitleaks-gitleaks", "msoedov-agentic-security"]
---

# gitleaks vs agentic_security

*GraphCanon updated Aug 16, 2026*

## Verdict

Pick gitleaks if gitleaks is an AI-driven tool for detecting secrets within git repositories that can integrate into CI/CD pipelines and offers robust CLI capabilities; pick agentic_security if agentic Security is an agent-based framework for scanning vulnerabilities in large language models with a Python-based toolkit for robust security assessments via fuzz testing.

[gitleaks](https://gitleaks.io) reports 29k GitHub stars, 2.2k forks, and 464 open issues, last pushed Jul 29, 2026. [agentic_security](https://agentic-security.vercel.app) has 1.9k stars, 270 forks, and 70 open issues, last pushed Jun 23, 2026. Figures are from public GitHub metadata via [gitleaks's repository](https://github.com/gitleaks/gitleaks) and [agentic_security's repository](https://github.com/msoedov/agentic_security).

| | [gitleaks](/tools/gitleaks-gitleaks.md) | [agentic_security](/tools/msoedov-agentic-security.md) |
| --- | --- | --- |
| Tagline | Find secrets with Gitleaks 🔑 | Agentic LLM Vulnerability Scanner / AI red teaming kit |
| Stars | 28,753 | 1,943 |
| Forks | 2,191 | 270 |
| Open issues | 464 | 70 |
| Language | Go | Python |
| Adopt for | gitleaks is an AI-driven tool for detecting secrets within git repositories that can integrate into CI/CD pipelines and offers robust CLI capabilities. | Agentic Security is an agent-based framework for scanning vulnerabilities in large language models with a Python-based toolkit for robust security assessments via fuzz testing. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | Apache-2.0 - Permissive license encouraging free use and modification under the condition of preserving notices. |
| Categories | Evaluation & Observability | Evaluation & Observability, LLM Frameworks |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [gitleaks](/tools/gitleaks-gitleaks.md) | [agentic_security](/tools/msoedov-agentic-security.md) |
| --- | --- | --- |
| Maintenance | Active (82%) | Steady (60%) |
| Days since push | 18d | 35d |
| Open issues (now) | 464 | 70 |
| Stars delta | +576 (30d) | Unknown |
| Open issues delta | +36 (30d) | Unknown |
| Owner type | Organization | User |
| Full report | [trust report](/tools/gitleaks-gitleaks/trust.md) | [trust report](/tools/msoedov-agentic-security/trust.md) |

## Decision facts: gitleaks

- **Requirements:** Min 1 GB RAM; Requires a Go environment to be installed if not using pre-built binaries.
- **Adopt for:** gitleaks is an AI-driven tool for detecting secrets within git repositories that can integrate into CI/CD pipelines and offers robust CLI capabilities.

## Decision facts: agentic_security

- **Adopt for:** Agentic Security is an agent-based framework for scanning vulnerabilities in large language models with a Python-based toolkit for robust security assessments via fuzz testing.
- **License detail:** Apache-2.0 - Permissive license encouraging free use and modification under the condition of preserving notices.

## Choose when

### Choose gitleaks if…

- gitleaks is primarily Go; agentic_security is Python.
- License: gitleaks is MIT, agentic_security is Apache-2.0.
- Requirements: Min 1 GB RAM; Requires a Go environment to be installed if not using pre-built binaries..
- Tags unique to gitleaks: ai-powered, ci-cd, cicd, cli.
- - When you need to detect leaked secrets using advanced AI-powered methods, offering a modern approach over traditional pattern matching.

### Choose agentic_security if…

- agentic_security is primarily Python; gitleaks is Go.
- License: agentic_security is Apache-2.0, gitleaks is MIT.
- Tags unique to agentic_security: agent-framework, fuzzing, llm-evaluation, red-teaming.
- Also covers LLM Frameworks.
- Developers need to ensure their LLMs are secure from jailbreak attempts and vulnerabilities.

## When NOT to use gitleaks

- - Avoid if looking for broader DLP functionalities that extend beyond git repositories, as gitleaks is specifically tailored to this context.
- - Not recommended if you require real-time alerting features; gitleaks is more suited for periodic or commit-based scanning and analysis.

## When NOT to use agentic_security

- Teams require solutions that do not involve agent frameworks for vulnerability scanning.
- Projects seek a no-fuzz-testing approach for evaluating LLM security.

## Common questions

### What is the difference between gitleaks and agentic_security?

gitleaks: Find secrets with Gitleaks 🔑. agentic_security: Agentic LLM Vulnerability Scanner / AI red teaming kit. See the comparison table for live GitHub stats and shared categories.

### When should I choose gitleaks over agentic_security?

Choose gitleaks over agentic_security when gitleaks is primarily Go; agentic_security is Python; License: gitleaks is MIT, agentic_security is Apache-2.0; Requirements: Min 1 GB RAM; Requires a Go environment to be installed if not using pre-built binaries.; Tags unique to gitleaks: ai-powered, ci-cd, cicd, cli; - When you need to detect leaked secrets using advanced AI-powered methods, offering a modern approach over traditional pattern matching.

### When should I choose agentic_security over gitleaks?

Choose agentic_security over gitleaks when agentic_security is primarily Python; gitleaks is Go; License: agentic_security is Apache-2.0, gitleaks is MIT; Tags unique to agentic_security: agent-framework, fuzzing, llm-evaluation, red-teaming; Also covers LLM Frameworks; Developers need to ensure their LLMs are secure from jailbreak attempts and vulnerabilities.

### When should I avoid gitleaks?

- Avoid if looking for broader DLP functionalities that extend beyond git repositories, as gitleaks is specifically tailored to this context. - Not recommended if you require real-time alerting features; gitleaks is more suited for periodic or commit-based scanning and analysis.

### When should I avoid agentic_security?

Teams require solutions that do not involve agent frameworks for vulnerability scanning. Projects seek a no-fuzz-testing approach for evaluating LLM security.

### Is gitleaks or agentic_security more popular on GitHub?

gitleaks has more GitHub stars (28,753 vs 1,943). Stars measure visibility, not whether either tool fits your constraints.

### Are gitleaks and agentic_security open source?

Yes - both are open-source projects on GitHub (gitleaks: MIT, agentic_security: Apache-2.0).

### Where can I find alternatives to gitleaks or agentic_security?

GraphCanon lists graph-backed alternatives at [gitleaks alternatives](/tools/gitleaks-gitleaks/alternatives) and [agentic_security alternatives](/tools/msoedov-agentic-security/alternatives) ([gitleaks markdown twin](/tools/gitleaks-gitleaks/alternatives.md), [agentic_security markdown twin](/tools/msoedov-agentic-security/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/gitleaks-gitleaks-vs-msoedov-agentic-security.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, gitleaks or agentic_security?

gitleaks: Active. agentic_security: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for gitleaks and agentic_security?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [gitleaks trust report](/tools/gitleaks-gitleaks/trust); [agentic_security trust report](/tools/msoedov-agentic-security/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=gitleaks-gitleaks`](/api/graphcanon/graph?tool=gitleaks-gitleaks)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
