Giskard
Test your AI agents to catch issues before they happen in production
Last verified April 24, 2026Quick facts: Giskard is an AI compliance vendor founded in 2021 and headquartered in Paris, France. The vendor publicly documents coverage for GDPR Art. 22, HIPAA, and SOC 2. Giskard is free to use. Profile last verified April 24, 2026, with every claim traceable to a cited public source.
About Giskard
Giskard is an open-source and enterprise platform for automated red-teaming and evaluation of AI models and LLM agents, detecting vulnerabilities like hallucinations, prompt injections, biases, and robustness issues through continuous scanning and test suites. It differentiates with black-box testing, collaborative workflows for business and technical teams, and integration of domain knowledge for exhaustive, domain-specific tests. Typical buyers are AI engineering, security, and data science teams at enterprises in finance, manufacturing, public sector, and defense deploying production AI systems. The platform supports compliance via GDPR, SOC 2 Type II, and HIPAA features, and was recognized in Gartner's 2023 Market Guide for AI Trust, Risk and Security Management.
Featured in
Giskard is ranked in the following independent collection.
Frameworks supported
Regulations and voluntary standards Giskard documents support for on their own materials. Chip shading reflects the strength of the claim, not an independent audit.
Regulation · EU · in force
Regulation · United States · active
Attestations held
Third-party security attestations and certifications Giskard documents on their own materials. These are point-in-time auditor opinions, not regulatory compliance. Always request the current report or certificate directly from the vendor before relying on it.
Attestation · United States (AICPA)
Giskard features
Capabilities Giskard markets publicly. Inclusion means the feature is documented on the vendor's site — not that it's best-in-class. Last verified April 24, 2026.
Risk Assessment Workflow
Guided workflows for completing AI impact assessments, risk scoring, and approval routing.
Bias & Fairness Testing
Automated statistical testing for disparate impact across protected attributes, with audit-ready reports.
LLM Evaluation
Systematic testing of LLM outputs for correctness, relevance, safety, and consistency using automated scorers, rubrics, or human review.
LLM Red Teaming
Automated adversarial testing of LLMs for jailbreaks, prompt injection, and unsafe outputs.
Model Monitoring
Production monitoring for performance, drift, data quality, and fairness regressions.
Explainability
SHAP, LIME, counterfactual, and feature-importance explanations for model decisions.
Drift Detection
Automated detection of distribution shift, feature drift, prediction drift, and performance degradation in deployed ML/AI models.
Industries served
Integrations
Documented by Giskard in public product materials.
- MLflow
- OpenAI API
- LiteLLM
- Ollama
Giskard pricing
Contact for pricing
Free open-source library for solo users; Giskard Hub enterprise platform with advanced collaboration, continuous red-teaming, and compliance features available via subscription.
Pros and cons of Giskard
Pros
- Open-source core library enables quick onboarding and customization.
- Comprehensive automated scanning covers security vulnerabilities, hallucinations, bias, and business failures.
- Enterprise Hub offers team collaboration, continuous monitoring, and compliance certifications like SOC 2 and HIPAA.
- Recognized as representative vendor in Gartner's 2023 AI TRiSM Market Guide.
Cons
- No public pricing details; enterprise Hub requires contacting sales.
- Employee count small (11-50), potentially limiting support scale.
- Focus primarily on LLM agents and black-box testing may not suit all traditional ML needs.
- Some sources show varying funding totals ($2M-$4.9M).
Frequently asked
What is the difference between Giskard Open-Source and Giskard Hub?+
Open-Source is a free Python library for basic testing; Hub adds enterprise features like team collaboration, continuous red-teaming, and SSO.
Does Giskard support on-premise deployment?+
Yes, Giskard Hub can be deployed on-premise for data sovereignty.
What compliance standards does Giskard meet?+
GDPR adherence, SOC 2 Type II, and HIPAA compliance.
What types of AI agents does Giskard test?+
Conversational text-to-text LLM agents accessible via API endpoint (black-box).
Sources
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