AIAI Governance StackFree kit

Giskard vs Zenity

Both compete in Red-Teaming & AI Security. Giskard positions itself as “Open-source and enterprise platform for testing and red-teaming LLM agents”, while Zenityleads with “Security and governance platform purpose-built for AI agents across SaaS, cloud, and endpoints”. The table below compares what each publishes.

Where Giskard pulls ahead

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

Where Zenity pulls ahead

Enterprises adopting AI agents and low-code platforms that need centralized security posture management and response

Giskard
Zenity
PositioningOpen-source and enterprise platform for testing and red-teaming LLM agentsSecurity and governance platform purpose-built for AI agents across SaaS, cloud, and endpoints
CategoryRed-Teaming & AI SecurityRed-Teaming & AI Security
FrameworksEU AI Act, NIST AI RMFNone published
DeploymentOpen-source, SaaS, On-prem, APISaaS, Cloud, API
Built forData Science / ML, Risk, ComplianceSecurity, Risk, GRC
Founded20212021
HeadquartersParis, FranceTel Aviv, Israel
OwnershipIndependent, venture-backed (Y Combinator alumnus)Private (VC-backed)
FundingSeed funding (reported ~$2-3M+); investors include Y Combinator, Elaia, and others$59.5M total; $38M Series B in October 2024 led by Third Point Ventures and DTCP, with M12, Intel Capital and Vertex 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)
  • AI agent discovery and inventory
  • AI security posture management
  • Real-time threat detection and response
  • Prompt injection and hijacking prevention
  • Low-code/no-code app security
  • Shadow AI visibility
IntegrationsHugging Face, LangChain, MLflow, Common ML frameworks, Major LLM providers via APIMicrosoft Copilot Studio, Microsoft Power Platform, Salesforce, ServiceNow
Notable customersNone publishedNone published
Best forML, quality, and risk teams wanting open-source-first, framework-aligned LLM testing and continuous red teamingEnterprises adopting AI agents and low-code platforms that need centralized security posture management and response
LimitationsTesting/evaluation focus rather than inline runtime enforcement; smaller company and funding base; enterprise features concentrated in the paid Hub tierStrongest around enterprise agent/low-code ecosystems; less focused on standalone model red teaming or compliance certification.

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 Zenity if enterprises adopting AI agents and low-code platforms that need centralized security posture management and response

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 Zenity 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.

Free. No spam — unsubscribe anytime.