Giskard vs WhyLabs
Side-by-side comparison of framework coverage, pricing, capabilities, and target customers. Last verified recently.
https://aicompliancevendors.com/compare/giskard-ai-vs-whylabsGiskard
Test your AI agents to catch issues before they happen in production
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.
WhyLabs
The AI Observability Platform
WhyLabs provided an AI observability platform for monitoring machine learning models, data pipelines, and generative AI applications in real-time. Key differentiators included privacy-preserving data logging via open-source whylogs, LLM monitoring with langkit, drift detection, and low-latency threat detection without data movement. Targeted ML engineers and data scientists at Fortune 100 companies to AI startups in regulated sectors like financial-services and healthcare. Company discontinued commercial operations in 2025 following reported acquisition by Apple, open-sourcing its platform; tools remain available on GitHub.
What the data shows
We haven't published an editorial verdict on this pair yet. The comparison below is built from public vendor materials and our taxonomy — no editorialized ranking.
- Shared framework coverage: SOC 2
- Only Giskard covers: GDPR Art. 22, HIPAA
- Shared capabilities: 4 of 9 listed.
Want our editorial take? Email the editors or read our methodology.
At a glance
| Attribute | Giskard | WhyLabs |
|---|---|---|
| Founded | 2021 | 2019 |
| Headquarters | Paris, France | Seattle, US |
| Employees | 11-50 | 11-50 |
| Funding | $4.9M total (Grant, May 2024) | $14M total (Series A, 2021) |
| Pricing | Contact for pricing | Contact for pricing |
| Website | Visit site | Visit site |
Framework coverage
| Framework | Giskard | WhyLabs |
|---|---|---|
| GDPR Art. 22 | Comprehensive | — |
| HIPAA | Comprehensive | — |
| SOC 2 | Comprehensive | Comprehensive |
Capabilities
| Capability | Giskard | WhyLabs |
|---|---|---|
| AI Model Inventory | — | ✓ |
| Bias & Fairness Testing | ✓ | ✓ |
| Drift Detection | ✓ | ✓ |
| Explainability | ✓ | — |
| LLM Evaluation | ✓ | ✓ |
| LLM Guardrails & Content Filtering | — | ✓ |
| LLM Red Teaming | ✓ | — |
| Model Monitoring | ✓ | ✓ |
| Risk Assessment Workflow | ✓ | — |
Industries served
Giskard
- Financial Services
- Healthcare
- Government & Public Sector
- Defense & National Security
- Manufacturing
- SaaS & Technology
WhyLabs
- Financial Services
- Healthcare
- Retail & E-commerce
- Manufacturing
Integrations
Giskard
- MLflow
- OpenAI API
- LiteLLM
- Ollama
WhyLabs
- PyTorch
- TensorFlow
- scikit-learn
- Apache Spark
- Ray
- OpenAI API
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Editorial independence: This comparison is free and was not paid for by either vendor. See our methodology.