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Giskard vs Mindgard

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Giskard

7.6#4 in ai security testing toolsFree plan
Free planWebAPILinuxSelf-hosted
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What both publish

FactGiskardMindgard
DeploymentThe Enterprise plan lists on-premise, private cloud, and SaaS deployment options, and the FAQ says its team can help install Hub on-premise for sensitive workloads.Mindgard says it can be operational in minutes through APIs, CI/CD pipelines, Burp Suite, or a single-click workflow.
Founded20212022
HeadquartersEuropeBoston, Massachusetts, United States, and London, United Kingdom
IntegrationsThe earlier product description lists compatibility with Hugging Face, MLflow, Weights & Biases, PyTorch, TensorFlow and LangChain.Mindgard says it supports APIs, CI/CD, and Burp Suite, including a Burp Suite extension.
PurposeGiskard describes its platform as a way to find vulnerabilities in AI agents before they reach production.Mindgard’s AI security platform finds, validates, and helps fix high-impact vulnerabilities in AI systems and agents.

Giskard plans

  • FreeFree
  • Open-sourceFree
  • EnterprisePriced on request
  • ProfessionalPriced on request

Mindgard plans

No prices published.

Pick Giskard if…

Giskard suits teams responsible for evaluating conversational AI agents through API endpoints before release. It also fits organizations needing enterprise red-team scans, custom evaluations, human review, or controlled deployment options.

Pick Mindgard if…

Mindgard suits security and engineering teams responsible for AI systems in development or production, including AppSec, red team, AI and ML engineering, GRC, and audit teams.

Charts they share