Zod
Zod is a TypeScript-first schema validation library with static type inference.
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.
Giskard is an automated AI testing platform designed to proactively secure Large Language Model (LLM) agents and prevent failures.
Explore all tools that specialize in detecting hallucinations in llm agents. This domain focus ensures Giskard delivers optimized results for this specific requirement.
Explore all tools that specialize in identifying security vulnerabilities in ai models. This domain focus ensures Giskard delivers optimized results for this specific requirement.
Explore all tools that specialize in preventing prompt injection attacks. This domain focus ensures Giskard delivers optimized results for this specific requirement.
Explore all tools that specialize in ensuring data privacy and compliance. This domain focus ensures Giskard delivers optimized results for this specific requirement.
Explore all tools that specialize in testing for inappropriate content generation. This domain focus ensures Giskard delivers optimized results for this specific requirement.
Explore all tools that specialize in evaluating the quality of ai responses. This domain focus ensures Giskard delivers optimized results for this specific requirement.
Giskard automatically detects critical vulnerabilities like hallucinations and security flaws by leveraging both internal and external data sources (e.g., RAG knowledge bases) to automatically and exhaustively generate test cases.
Giskard focuses on proactive monitoring by continuously generating different attack scenarios and potential hallucinations throughout your AI's lifecycle, preventing issues from surfacing in real-world use.
Giskard offers a collaborative red-teaming playground and annotation tools, enabling anyone to easily craft test cases, making it accessible for both developers and business users.
Giskard system automatically converts detected issues into reproducible test suites, to enrich your golden test dataset continuously and prevent regression.
Choose where your data is processed (EU or US) with data residency & isolation guarantees. Benefit from automated updates & maintenance while keeping your data protected.
Create an account on the Giskard Hub.
Connect your LLM agent to the Giskard platform via API.
Configure data residency and isolation settings (EU or US).
Define Role-Based Access Control (RBAC) and audit trails.
Run automated vulnerability scans using the red teaming engine.
Review the test results in the visual Human-in-the-Loop dashboards.
Customize and approve tests through the collaborative interface.
All Set
Ready to go
Verified feedback from other users.
"Customers praise Giskard for its enterprise-grade tools, intuitive UI, and powerful APIs, making AI model testing effortless. They appreciate its ability to streamline the testing process and provide comprehensive KPIs to ensure AI agents are production-ready."
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Zod is a TypeScript-first schema validation library with static type inference.
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