GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Vigil-llm is designed for users who need robust security measures to protect against prompt injections and jailbreak attempts in LLMs.
Good fit when
- When deploying large language models that require high levels of input security, vigil-llm can be employed to detect maliciously crafted inputs intended to manipulate model behavior.
- In environments where adversarial machine learning is a risk, vigil-llm's capability to identify prompt injections makes it an essential tool for safeguarding LLMs.
Avoid when
- If your application does not require high security against malicious inputs or if the risks of prompt injection are minimal due to controlled input sources, vigil-llm might be unnecessary.
- For projects that focus on optimizing output speed rather than input robustness, other tools might be more appropriate as vigil-llm could add significant processing overhead.
Observed Jul 15, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (962d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 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 vigil-llmHow it fits your stack(8)
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Evidence and technical details
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Overview
Vigil is a tool designed for detecting prompt injections and jailbreak attempts aimed at Large Language Models, falling under the category of Evaluation & Observability.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Sep 20, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Sep 20, 2026
- Languages
- python
Source: github.language · Sep 20, 2026
Categories
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Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
README
Install Vigil 🛠️ Follow the steps below to install Vigil A Docker container is also available, but this is not currently recommended. Install YARA Follow the instructions on the YARA Getting Started documentation to download and install YARA v4.3.2. Install Vigil library Inside...
For agents
This page has a .md twin and JSON over the API.