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garak

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Automated scans
garak can run a standard scan and produce a report without supervision, while allowing scan configuration to be customized.docs.garak.ai · read 7 Oct 2026
Deployment
garak is a command-line tool developed in Linux and OSX and can be installed with pip or from source.github.com · read 7 Oct 2026
Integrations
The project lists support for OpenAI, Hugging Face, Cohere, Replicate, AWS Bedrock, LiteLLM, REST-accessible models, and custom Python integrations.github.com · read 7 Oct 2026
Local and hosted models
The documentation describes running Hugging Face models locally or accessing them through an inference API or private endpoint.github.com · read 7 Oct 2026
Maintainer
The project website says garak is backed by NVIDIA and is updated by NVIDIA and the community.garak.ai · read 7 Oct 2026
Output scope
The reference documentation says garak supports mainstream any-to-any large models but assesses text output only.reference.garak.ai · read 7 Oct 2026
Probe and detector design
Probes attempt to elicit failures, and detectors examine model outputs for failure modes such as unsafe content or failure to refuse.reference.garak.ai · read 7 Oct 2026
Purpose
garak is an LLM vulnerability scanner that probes language models and systems using them for security weaknesses.garak.ai · read 7 Oct 2026
Reports
garak produces screen output, a detailed report log, a hit log, and a debug log.docs.garak.ai · read 7 Oct 2026
Security reporting
The repository directs security vulnerability reports to NVIDIA’s security submission form or [email protected] and says not to report them through GitHub.github.com · read 7 Oct 2026
Support
The project points users to its user guide, reference documentation, Discord, GitHub issues, and an NVIDIA email address for support.garak.ai · read 7 Oct 2026
Threat coverage
The project lists hallucination, data leakage, prompt injection, misinformation, toxicity generation, and jailbreaks among the weaknesses it probes.github.com · read 7 Oct 2026

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