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Akto Agentic Red Teaming vs Giskard

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Giskard

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

FactAkto Agentic Red TeamingGiskard
DeploymentAkto documentation describes a hybrid SaaS deployment option for deploying Akto in a customer cloud.The 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.
HeadquartersSan Francisco, California, United StatesEurope
IntegrationsAkto's connector page lists 200+ connectors across agent builders, models, AI gateways, browser extensions, IDE and desktop assistants, cloud services, and MCP connectors.The earlier product description lists compatibility with Hugging Face, MLflow, Weights & Biases, PyTorch, TensorFlow and LangChain.
PurposeAgentic Red Teaming adversarially tests AI agents, copilots, RAG systems, and AI-powered applications for vulnerabilities.Giskard describes its platform as a way to find vulnerabilities in AI agents before they reach production.

Akto Agentic Red Teaming plans

  • Akto ArgusPriced on request

Giskard plans

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

Pick Akto Agentic Red Teaming if…

This product is aimed at enterprise and modern AppSec teams securing AI agents, MCP servers, models, and AI applications. It fits organisations needing continuous, customizable adversarial testing.

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.

Charts they share