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leondz avatar

leondz/garak

0
View on GitHub↗
8,227 stars·1,044 forks·Python·Apache-2.0·36 viewsdiscord.gg/uVch4puUCs↗

Garak

Garak is a suite of tools for measuring AI reliability, scanning for vulnerabilities, and automating security assessments through adaptive probing. It functions as a generative AI vulnerability scanner and evaluation tool designed to identify security gaps, hallucinations, and failure modes in language models.

The framework provides a toolkit for red-teaming and safety assessments, utilizing a structured system of probes and detectors to calculate failure rates. It specifically scans for risks such as data leakage and prompt injection by recording model responses to adversarial inputs.

The project includes a plugin system for creating custom generators and detectors to expand the test suite. It further supports integration with various AI model providers via cloud APIs, local files, and web endpoints, with results maintained through security assessment logging.

Features

  • Model Red-Teaming - Implements automated adversarial testing and vulnerability scanning to identify safety failures in generative AI models.
  • AI Risk Assessments - Automates the evaluation of security postures and risk profiles for language models using structured probes.
  • LLM Security - Identifies and documents security vulnerabilities such as prompt injection through adversarial probing and response logging.
  • Generative Model Scanners - Scans generative AI models for critical vulnerabilities like data leakage and prompt injection.
  • LLM Security Scanning - Employs adaptive probes to scan generative models for hallucinations, data leakage, and injection vectors.
  • LLM Evaluation - Measures model reliability and quality by running standardized probes and calculating failure rates.
  • Model Provider Integrations - Provides connectors to interface with large language models hosted via cloud APIs and local endpoints.
  • Test Suite Extensions - Includes a plugin system for expanding the suite with custom adversarial probes and detectors.
  • Model Failure Analyzers - Analyzes model responses against specific detectors to identify and quantify undesirable failure modes.
  • AI Safety Testing Frameworks - Offers a plugin-based framework for creating custom generators and detectors to evaluate model safety.
  • AI Application Security - Comprehensive vulnerability scanner for LLM weaknesses and jailbreaks.
  • AI Security - Vulnerability scanner for probing LLM weaknesses.
  • AI Security and Red Teaming - LLM vulnerability scanner for probing language models.
  • Guardrails and AI Safety - Listed in the “Guardrails and AI Safety” section of the The Incredible Pytorch awesome list.
  • Safety and Security - LLM vulnerability scanner.

Star history

Star history chart for leondz/garakStar history chart for leondz/garak

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with Garak

These projects share indexed features with Garak. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
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  • nvidia/garakNVIDIA avatar

    NVIDIA/garak

    8,114View on GitHub↗

    Garak is an AI model evaluation tool and vulnerability scanner designed for red teaming large language models and auditing the security of retrieval-augmented generation pipelines. It identifies behavioral weaknesses, such as jailbreaks, hallucinations, and data leakage, by simulating adversarial attacks and executing automated testing vectors. The framework utilizes an adaptive probing loop where prompts can react to previous model behavior and be modified in flight via middleware. To ensure consistent analysis, it employs a provider-agnostic interface to interact with various model APIs and

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    AI-Infra-Guard is a security scanning platform designed to detect vulnerabilities across large language model deployments, AI agent skills, and the underlying infrastructure. It functions as a security toolset for auditing source code, evaluating model robustness, and identifying insecure network configurations. The project provides a red teaming framework that uses curated attack datasets to test for jailbreak vulnerabilities and prompt injections. It also includes an infrastructure auditor that employs network fingerprinting and asset discovery to match running components against known comm

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Frequently asked questions

What does leondz/garak do?

Garak is a suite of tools for measuring AI reliability, scanning for vulnerabilities, and automating security assessments through adaptive probing. It functions as a generative AI vulnerability scanner and evaluation tool designed to identify security gaps, hallucinations, and failure modes in language models.

What are the main features of leondz/garak?

The main features of leondz/garak are: Model Red-Teaming, AI Risk Assessments, LLM Security, Generative Model Scanners, LLM Security Scanning, LLM Evaluation, Model Provider Integrations, Test Suite Extensions.

Which projects share features with leondz/garak?

Projects with overlapping indexed features include: nvidia/nemo-guardrails — NeMo-Guardrails is a toolkit for adding programmable safety constraints and dialogue boundaries to large language… azure/pyrit — PyRIT is an AI vulnerability assessment tool and security scanner designed to detect risks in large language model… nvidia/garak — Garak is an AI model evaluation tool and vulnerability scanner designed for red teaming large language models and… tencent/ai-infra-guard — AI-Infra-Guard is a security scanning platform designed to detect vulnerabilities across large language model… promptfoo/promptfoo — Promptfoo is an evaluation framework designed for testing, benchmarking, and red-teaming language models and agentic… protectai/llm-guard — LLM Guard is a security firewall and guardrail framework designed to scan and sanitize inputs and outputs for large…