Giskard is a platform that continuously red teams AI systems to detect vulnerabilities, evaluate LLM behavior, and help teams improve AI security and reliability.
Giskard is a security and quality assurance platform for AI agents and LLM-powered applications, focused on continuous AI red teaming. It systematically probes models for vulnerabilities such as prompt injection, data leakage, jailbreaks, and harmful content generation, helping teams harden their systems before deployment and throughout their lifecycle. The primary purpose of Giskard is to provide an automated, repeatable way to assess and improve the robustness and safety of AI systems in production environments.
The platform offers continuous red teaming campaigns that simulate real-world adversarial behavior against your AI agents and LLM endpoints. It includes libraries of predefined attack scenarios, customizable test suites, and security policies tailored to common LLM use cases (e.g., chatbots, retrieval-augmented generation, and decision-support tools). Giskard integrates with common MLOps and LLMOps stacks, enabling automated testing in CI/CD pipelines and monitoring of security regressions over time. Detailed reports, vulnerability categorizations, and remediation guidance help teams prioritize fixes and track improvements.
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