Agentifact assessment — independently scored, not sponsored. Last verified Mar 8, 2026.
Vigil
Open-source Python library and REST API for scanning LLM prompts and responses against multiple security detectors. Uses vector database similarity search against known attack patterns, YARA heuristic rules, transformer-based classifiers, and canary token checks. Suitable for research and experimental agent hardening. Fully free and self-hosted.
Viable option — review the tradeoffs
You need to harden experimental LLM agents against prompt injections and jailbreaks without relying on paid or cloud services.
Solid detection of known attacks with low false positives; experimental alpha state means tuning thresholds needed for new threats; fast and extensible for research.
You want to prototype multi-scanner security pipelines for LLM inputs/outputs in agent workflows.
Highly configurable but requires experimentation; excels in offline/research setups, not zero-config production.
Alpha/Experimental Stage
Explicitly for research; lacks production polish, comprehensive eval metrics, and may miss novel attacks without tuning.
Vigil for runtime prompt/response scanning; Garak for exhaustive vulnerability probing.
Pick Vigil for inline agent guardrails with self-hosted detectors.
Pick Garak for automated red-teaming and broad failure mode exploration.
Tuning Required for Balance
High configurability means default thresholds may over/under-detect; test against your traffic to avoid blocking legit prompts or missing evasions.
Trust Breakdown
What It Actually Does
Vigil scans prompts and responses for AI chatbots to detect prompt injections, jailbreaks, and other security risks. It works as a Python library or web service you can run yourself.[1][2][4]
Open-source Python library and REST API for scanning LLM prompts and responses against multiple security detectors. Uses vector database similarity search against known attack patterns, YARA heuristic rules, transformer-based classifiers, and canary token checks. Suitable for research and experimental agent hardening.
Fully free and self-hosted.
Fit Assessment
Best for
- ✓llm-security
- ✓prompt-analysis
- ✓risk-detection
Score Breakdown
Protocol Support
Capabilities
Governance
- canary-tokens