AIAI Governance StackFree kit

Giskard vs TrojAI

Both compete in Red-Teaming & AI Security. Giskard positions itself as “Open-source and enterprise platform for testing and red-teaming LLM agents”, while TrojAIleads with “Enterprise AI security combining automated red teaming with real-time application protection”. The table below compares what each publishes.

Where Giskard pulls ahead

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

Where TrojAI pulls ahead

Enterprises wanting combined pre-deployment red teaming and runtime AI application protection

Giskard
TrojAI
PositioningOpen-source and enterprise platform for testing and red-teaming LLM agentsEnterprise AI security combining automated red teaming with real-time application protection
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, Data Science / ML, Risk
Founded20212020
HeadquartersParis, FranceSaint John, New Brunswick, Canada (with Boston office)
OwnershipIndependent, venture-backed (Y Combinator alumnus)Acquired by A10 Networks (2026)
FundingSeed funding (reported ~$2-3M+); investors include Y Combinator, Elaia, and others~$11.4M total; $5.75M seed in April 2024 led by Flying Fish Partners
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 model red teaming (TrojAI Detect)
  • Real-time AI firewall (TrojAI Defend)
  • Prompt injection and data leakage protection
  • Model poisoning defense
  • Vulnerability remediation
IntegrationsHugging Face, LangChain, MLflow, Common ML frameworks, Major LLM providers via APINot published
Notable customersNone publishedNone published
Best forML, quality, and risk teams wanting open-source-first, framework-aligned LLM testing and continuous red teamingEnterprises wanting combined pre-deployment red teaming and runtime AI application protection
LimitationsTesting/evaluation focus rather than inline runtime enforcement; smaller company and funding base; enterprise features concentrated in the paid Hub tierNow part of A10 Networks, so future roadmap is tied to the acquirer; standalone framework/compliance mapping is limited publicly.

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 TrojAI if enterprises wanting combined pre-deployment red teaming and runtime AI application protection

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 TrojAI 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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