Giskard

Open source

Open source testing framework for detecting quality and bias issues in LLMs.

by Giskard AIOfficial site ↗Source code ↗

Pricing: free, custom
Free tier: true
License: open-source
Open source: Yes

Editorial review

Giskard has not yet been editorially reviewed. User reviews and published field data below are unaffected — we say so rather than implying an editorial verdict.

Facts & attributes

Every value carries its evidence state. “—” means unknown — never a silent default (P-02).

Identity · Taxonomy

Documentation(HTTPS URL): https://docs.giskard.aiVerified
Tags(open-source;cloud-native): LLM security, red teaming, AI evaluation, guardrails, prompt injection, hallucination detection, open sourceVerification pending

Platform · Deployment

Delivery model(SaaS;self-hosted;desktop;mobile;embedded;managed-cloud;appliance): SaaS, self-hostedVerification pending

Pricing · Licensing

Free plan(true/false): trueVerification pending
License model(proprietary;open-source;source-available;dual-license): open-sourceVerified
Pricing model(free;subscription;usage;seat;asset;transaction;revenue-share;perpetual;custom): free, customVerified
Source repository(HTTPS URL): https://github.com/Giskard-AI/giskardVerified
SPDX license IDs(Apache-2.0;MIT): Apache-2.0Verified

Features · Product · Fit

Core capabilities(authoring;automation;analytics): Continuous Red Teaming, LLM Evaluation, AI Guardrails, Vulnerability Detection, Hallucination Detection, Prompt Injection DetectionVerification pending

Api · Integrations · Ecosystem

API available(true/false): trueVerification pending

Security · Privacy · Compliance

Regulatory compliance(HIPAA;PCI DSS;FedRAMP;GDPR support): GDPR, HIPAAVerified
Security certifications(SOC 2 Type II;ISO 27001): SOC 2 Type IIVerified

Audience · Use · Case

Best for(Neutral editorial summary): Teams red-teaming and evaluating LLM agents for security and quality issues before production deployment.Verification pending
Company-size fit(individual;SMB;mid-market;enterprise): SMB, mid-market, enterpriseVerification pending
Primary use cases(build;monitor;automate): testing AI agents to detect security and quality issues before production, domain-specific evaluation datasets and RAG quality metrics for LLM applications, securing customer-facing AI in finance, healthcare, and manufacturingVerification pending

Lifecycle · Versioning

Maintenance status(active;maintenance;deprecated;EOL;archived): activeVerification pending

Vendor · Maintainer

Headquarters country(US): FranceVerification pending
Vendor type(commercial;foundation;community;government;consortium;individual): commercialVerification pending

User reviews

Review policy

No published reviews yet.