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Giskard

LLM Orchestrators

Overview

An open-source quality and security testing platform for AI models. It helps teams identify biases, vulnerabilities, and performance regressions in LLMs and tabular models before deployment.

Giskard is an open-source testing platform for AI quality and security, automatically scanning LLMs and tabular models for biases, vulnerabilities, and regressions before deployment. It helps teams catch issues like hallucination and prompt injection early. It targets organizations that need safe, compliant AI.

Key Features

  • Automated AI vulnerability scanning
  • Bias and quality detection
  • LLM and tabular model support
  • Regression testing
  • Open-source

Best For

Teams that need to test AI models for bias, security, and regressions before launch.

Pros & Cons

Pros
  • Automated quality and security scans
  • Covers LLMs and tabular models
  • Open-source
Cons
  • Testing tool, not orchestration
  • Requires setup of test suites
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Pulse Verdict

The security guard for AI. Giskard's automated scanning and vulnerability detection provide the safety layer required for enterprise-grade generative applications.

Pricing

Open-source and free; paid enterprise hub available.

Pricing changes often — confirm current plans on the official site.

Visit Official Website →

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