Giskard alternatives
Giskard is open-source and enterprise platform for testing and red-teaming LLM agents. If it is not the right fit, the tools below solve a comparable problem in Red-Teaming & AI Security, ranked by how closely they overlap on framework coverage and target team.
Why teams look past Giskard
Testing/evaluation focus rather than inline runtime enforcement; smaller company and funding base; enterprise features concentrated in the paid Hub tier
1. Cranium AI
End-to-end AI security and governance platform to discover, monitor, red-team and prove enterprise AI
Best for: Enterprises that need to secure, red-team, and prove governance across internal and third-party AI in one platform
Frameworks: EU AI Act, NIST AI RMF, ISO/IEC 42001
2. Patronus AI
Automated evaluation, guardrails, and judges for LLM and agent reliability
Best for: ML and product teams that need automated, research-grade evaluation plus guardrails to ship reliable LLM apps
Frameworks: NIST AI RMF
3. Protect AI
End-to-end security for the AI and machine-learning supply chain
Best for: Security and ML teams needing to scan and defend models, pipelines, and LLM apps across the AI lifecycle
Frameworks: NIST AI RMF, SOC 2
4. Robust Intelligence
AI Firewall and automated model validation to secure AI from build to production
Best for: Enterprise security and ML risk teams wanting adversarial testing plus runtime protection mapped to AI-security standards
Frameworks: NIST AI RMF
5. Mindgard
Continuous automated AI red teaming and security testing for enterprise AI systems
Best for: Enterprise security teams needing continuous, attacker-perspective red teaming and testing of LLMs and AI systems
Frameworks: SOC 2
6. Promptfoo
Open-source tool for evaluating and red-teaming LLM apps, agents, and RAG systems
Best for: Developer teams wanting free, open-source, CI/CD-integrated evaluation and red teaming of LLM apps
7. Adversa AI
Continuous AI red teaming for agents, LLMs, and generative AI applications
Best for: Organizations needing specialist, research-driven adversarial testing of LLMs and AI agents
8. Vijil
Trust infrastructure to make enterprise AI agents secure, reliable, and resilient
Best for: Teams building enterprise AI agents that need lifecycle testing, hardening, and trust evidence
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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