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llm-guard

protectai/llm-guard

The Security Toolkit for LLM Interactions

GitHub Website

GraphCanon updated Oct 6, 2026 · GitHub synced Oct 6, 2026

57views this month

3.2k stars462 forksLast push Jul 8, 2026 Python MIT

Decision brief

LLM Guard is a toolkit tailored for securing interactions with large language models, focusing on safeguarding against prompt injection and adversarial attacks.

Good fit when

- You need to secure your application from sophisticated prompt injection techniques.
- Your development process involves integrating LLMs into production environments where security is paramount.

Avoid when

- If you are working in a low-security environment or with small-scale projects where advanced security mechanisms are not necessary.
- In cases where integrating external libraries and ensuring Python version compatibility may introduce complexities that outweigh the benefits.

Requirements:: Min 2 GB RAM; Ensure you have Python version 3.9 or higher.; Some advanced features require additional libraries which are automatically installed as needed.

Observed Jul 12, 2026 · Source: enrich:decision_facts

llm-guard alternatives Trust report

llm-guard vs vigil-llm

Verify the decision

Maintenance and security

Full trust report

Maintenance: Archived (89d since push); As of Oct 6, 2026
Provenance: Not a fork · Organization account; As of Oct 6, 2026
Security (OSV): No lockfile; As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install llm-guard

PyPI

How it fits your stack(2)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Alternative

vigil-llm

Both llm-guard and vigil-llm are security tools designed to protect against potential threats in Large Language Model interactions, such as prompt injection attacks.

alternative

LLM-Agents-Ecosystem-Handbook

While llm-guard focuses specifically on the security of LLM interactions, the LLM-Agents-Ecosystem-Handbook touches upon securing modern LLM agent systems among other topics, thus they are related but not directly integrated.

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

Similar tools

Same-category neighbours not already linked as typed edges.

Guardrails

Open-source toolkit for adding programmable guardrails to LLM-based conversational systems

7.1k★

PurpleLlama

Set of tools to assess and improve LLM security

4.4k★

awesome-llm-security

A curation of tools, documents and projects about LLM Security

1.7k★

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

LLM Guard provides tools and functionalities aimed at securing interactions with large language models, addressing issues such as prompt injection and adversarial machine learning.

Capability facts

Languages: python
Source: github.language+pyproject.toml · Oct 6, 2026

Graph entities

Smolagentsframework

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Oct 6, 2026)

- Ensure you're using Python version 3.9 or higher. Confirm with: `python --version`.

Source link

Works with ChatGPTChatGPT

Source: README excerpt (regex_v1, Oct 6, 2026)

- Get started with [ChatGPT and LLM Guard](./examples/openai_api.py).