LLM Armor
PulseGate's liveness check found it on 8 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 16 Jun 2026. How this is checked
LLM Armor is a static analysis scanner for Python AI applications that checks for OWASP LLM Top 10 vulnerabilities. It is aimed at finding issues before attackers do, and it is presented as a fast, free tool that runs in seconds.
Inferred · not functionally tested
Overview
6 featuresPurpose: Detecting security vulnerabilities in Python-based AI applications before deployment.
Inferred · not functionally tested
Audience: AI developers and security engineers
Inferred · not functionally tested
Functions: monitoring
Inferred · not functionally tested
Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: llmarmor.dev · github.com. These links do not verify the individual claims.
LLM Armor is an AI & LLM security project. Inferred · not functionally tested: It focuses on detecting security vulnerabilities in Python-based AI applications before deployment. Inferred · not functionally tested: It is built as an open-source project for AI developers and security engineers. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It ships for the command line, and it can be self-hosted.
LLM Armor first shipped in 2026. The project is developed in the open on GitHub with 107 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include static analysis, prompt injection detection, and sensitive data exposure scan.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Static analysis
- Prompt injection detection
- Sensitive data exposure scan
- CI/CD integration
- Python support
- OWASP LLM Top 10 coverage
Topics: Inferred · not functionally tested
Built with & integrations
- Astro
- /_astro/ in the HTML
- openai
- bgpt- in the HTML
- multiple
- bLangChain in the HTML
- Cloudflare
- cf-ray header · cf-cache-status header
Trust & compliance
Indexing history
What PulseGate has recorded for this listing
Frequently asked questions about LLM Armor
- What does LLM Armor do?
- Inferred · not functionally tested: LLM Armor focuses on detecting security vulnerabilities in Python-based AI applications before deployment. It is catalogued under AI & LLM security on PulseGate.
- Who should use LLM Armor?
- Inferred · not functionally tested: LLM Armor is an open-source project built for AI developers and security engineers.
- Is LLM Armor free?
- Basis unknown · not verified: Yes — LLM Armor is open source under the MIT license and free to use.
- What platforms does LLM Armor run on?
- Basis unknown · not verified: LLM Armor runs on the command line. It can also be self-hosted.
- Is LLM Armor still active?
- PulseGate's liveness check found it on 8 Sep 2026. Its GitHub repository shows 107 commits in the last 90 days.
- What are alternatives to LLM Armor?
- Similar projects tracked by PulseGate include WatchLLM, LLMtary, and airlock-llm.WatchLLMLLMtaryairlock-llm
- How long has LLM Armor been around?
- LLM Armor first shipped in 2026.
- Is LLM Armor open source?
- Basis unknown · not verified: Yes — LLM Armor is open source under the MIT license, developed on GitHub.
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