garak vs Giskard
garak
garak.aiGiskard
giskard.aiSide by side
| Figure | garak | Giskard |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | — | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 4 |
| Spec score · AI Red Teaming Tools | 7.9 (#9) | 8.7 (#3) |
| Spec score · LLM Evaluation Tools | 7.8 (#12) | 8.7 (#4) |
| Spec score · AI Security Testing Tools | 7.8 (#15) | 8.6 (#5) |
| Deployment | garak is a command-line tool developed in Linux and OSX and can be installed with pip or from source. | The Enterprise plan lists on-premise, private cloud, and SaaS deployment options, and the FAQ says its team can help install Hub on-premise for sensitive workloads. |
| Integrations | The project lists support for OpenAI, Hugging Face, Cohere, Replicate, AWS Bedrock, LiteLLM, REST-accessible models, and custom Python integrations. | The earlier product description lists compatibility with Hugging Face, MLflow, Weights & Biases, PyTorch, TensorFlow and LangChain. |
| Purpose | garak is an LLM vulnerability scanner that probes language models and systems using them for security weaknesses. | Giskard describes its platform as a way to find vulnerabilities in AI agents before they reach production. |
| Support | The project points users to its user guide, reference documentation, Discord, GitHub issues, and an NVIDIA email address for support. | The Free plan includes community support and best-effort maintenance; the Enterprise plan lists dedicated support with SLAs and optional technical onboarding and consulting. |
Plans
Giskard
- FreeFree
- Open-sourceFree
- EnterprisePriced on request
- ProfessionalPriced on request
In their own words
garak
garak is a command-line scanner for probing language models and systems that use them for security weaknesses. Its checks cover issues such as hallucination, data leakage, prompt injection, misinformation, toxicity generation, and jailbreaks. Probes try to elicit failures, while detectors inspect responses for patterns such as unsafe content or a failure to refuse. A standard scan can run without supervision and produce a report, with scan settings available for customization. Integrations include OpenAI, Hugging Face, Cohere, Replicate, AWS Bedrock, LiteLLM, REST-accessible models, and custom Python integrations. Hugging Face models can run locally or be accessed through an inference API or private endpoint. Output includes screen results, a detailed report log, a hit log, and a debug log. garak assesses text output only. It is developed in Linux and OSX and can be installed with pip or from source; listed platforms include Linux, macOS, Windows, and self-hosted use. It is free, with a free plan and no free trial. Listed capabilities include custom metrics, LLM-as-a-judge, and safety evaluations.
Giskard
Giskard provides tools for assessing AI agents before production, with coverage for prompt injection, data disclosure, inappropriate content, hallucinations, contradictions, and omissions. Its Hub performs black-box testing of conversational text-to-text agents available through an API endpoint. An assessment produces a structured report with a deploy-or-fix verdict, ranked vulnerabilities, and functional scenarios; passing agents receive a Giskard Label. Giskard describes a remediation process in which its team qualifies findings, discusses severity, prioritizes issues, opens workflow tickets, and reruns tests to check fixes. Enterprise evaluation options include adversarial probes, domain-specific datasets, RAG quality metrics, customizable metrics, and human review interfaces. Deployment choices include on-premise, private cloud, and SaaS. Giskard lists EU or US data residency, access controls, audit trails, identity-provider integration, encryption, and a zero-training policy, alongside GDPR, SOC 2 Type II, and HIPAA compliance. The free plan includes a local open-source library, basic vulnerability scanning and RAG evaluation, community support, and best-effort maintenance.