AIAI Governance StackFree kit

Giskard vs SplxAI

Both compete in Red-Teaming & AI Security. Giskard positions itself as “Open-source and enterprise platform for testing and red-teaming LLM agents”, while SplxAIleads with “End-to-end security for AI with automated red teaming and runtime protection for agentic systems”. The table below compares what each publishes.

Where Giskard pulls ahead

Publishes support for EU AI Act, NIST AI RMF, which SplxAI does not. ML, quality, and risk teams wanting open-source-first, framework-aligned LLM testing and continuous red teaming

Where SplxAI pulls ahead

Enterprises wanting full-stack AI security from red teaming through runtime protection for agentic systems

Giskard
SplxAI
PositioningOpen-source and enterprise platform for testing and red-teaming LLM agentsEnd-to-end security for AI with automated red teaming and runtime protection for agentic systems
CategoryRed-Teaming & AI SecurityRed-Teaming & AI Security
FrameworksEU AI Act, NIST AI RMFNone published
DeploymentOpen-source, SaaS, On-prem, APISaaS, API, Open-source
Built forData Science / ML, Risk, ComplianceSecurity, Data Science / ML, GRC
Founded20212023
HeadquartersParis, FranceDover, Delaware, USA
OwnershipIndependent, venture-backed (Y Combinator alumnus)Acquired by Zscaler (2025)
FundingSeed funding (reported ~$2-3M+); investors include Y Combinator, Elaia, and others~$9M total; $7M seed in March 2025 led by LauncHub Ventures
PricingOpen-source library (free); Giskard Hub commercial enterprise subscriptionNot published
Key capabilities
  • Open-source LLM/model vulnerability scanning
  • Automated test-suite generation
  • Continuous red teaming
  • Hallucination and prompt-injection testing
  • Robustness and bias evaluation
  • Business-domain test management (Giskard Hub)
  • Automated red teaming
  • AI asset management and discovery
  • Runtime input/output guardrails
  • Dynamic prompt hardening
  • Governance and compliance mapping
  • Agentic Radar open-source scanner
IntegrationsHugging Face, LangChain, MLflow, Common ML frameworks, Major LLM providers via APIMCP servers, GitHub
Notable customersNone publishedNone published
Best forML, quality, and risk teams wanting open-source-first, framework-aligned LLM testing and continuous red teamingEnterprises wanting full-stack AI security from red teaming through runtime protection for agentic systems
LimitationsTesting/evaluation focus rather than inline runtime enforcement; smaller company and funding base; enterprise features concentrated in the paid Hub tierNow part of Zscaler, so standalone availability and roadmap are tied to the acquirer; detailed compliance certifications not publicly enumerated.

Which should you shortlist?

Choose Giskard if mL, quality, and risk teams wanting open-source-first, framework-aligned LLM testing and continuous red teaming

Choose SplxAI if enterprises wanting full-stack AI security from red teaming through runtime protection for agentic systems

Neither is a substitute for a governance program. Whichever you pick, you still need people who can define the policies the tool enforces.

Full Giskard profile →Full SplxAI profile →

AI Governance Tool Selection Kit

A vendor-comparison worksheet plus EU AI Act, NIST AI RMF and ISO/IEC 42001 requirement checklists — so you can shortlist tools against the obligations that actually apply to you.

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