Giskard
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Giskard is an automated testing platform to continuously secure LLM agents, preventing hallucinations & security issues in production.
Giskard is an automated AI testing platform designed to proactively secure Large Language Model (LLM) agents and prevent failures. It focuses on continuous testing to identify vulnerabilities like hallucinations, security flaws, and poor-quality responses before they impact production environments. Giskard employs a red-teaming engine that generates sophisticated attack scenarios, providing extensive test coverage for both security and quality vulnerabilities. It supports conversational AI agents in text-to-text mode and operates as a black-box testing tool, eliminating the need to access internal components. Giskard targets business, engineering, and security teams, providing a collaborative interface with visual dashboards to review, customize, and approve tests. The platform helps transform discovered vulnerabilities into permanent protection, preventing regressions and ensuring AI agents meet requirements after each update.
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Should Giskard be used before or after deployment?
Giskard enables continuous testing of LLM agents, so it should be used both before & after deployment to ensure production-readiness and detect new vulnerabilities.
How does Giskard work to find vulnerabilities?
Giskard employs various methods including leveraging internal knowledge, security vulnerability taxonomies, external resources, and internal prompt templates.
What type of LLM agents does Giskard support?
The Giskard Hub supports specifically Conversational AI agents in text-to-text mode, accessible through an API endpoint.
What’s the difference between Giskard Hub (enterprise tier) and Giskard Open-Source (solo-tier)?
For a complete feature comparison of Giskard Hub vs Giskard Open-Source, please read this documentation.
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