Giskard

Continuous AI red teaming platform that stress-tests LLM agents for vulnerabilities before they hit production.

Freemium· Open-source free tier; Giskard Hub enterprise pricing on requestEvaluationMulti-model

Best for

Pick Giskard if you are shipping a customer-facing LLM agent into a regulated industry and need a defensible pre-launch security and quality sign-off.

Skip if

Skip it if you are a solo dev prototyping with a small model and just want quick eval scripts rather than an enterprise red-teaming program.

Giskard is an AI security and evaluation platform focused on red teaming conversational agents and LLM applications. It runs black-box tests to surface prompt injection, data leakage, hallucinations, contradictions, sycophancy, and unsafe content, then delivers severity-ranked reports with go/no-go deployment recommendations. The workflow spans test generation, vulnerability qualification, and remediation verification, so it functions more like a full pre-deployment QA pipeline than a one-off scanner.

It is squarely aimed at regulated enterprises: the marquee logos are BNP Paribas, Michelin, and Decathlon, and the sales pitch leans hard on GDPR, SOC 2 Type II, HIPAA, RBAC, EU/US data residency, and on-prem deployment. There is a free open-source tier (the original Giskard Python library) for solo practitioners and researchers, but the paid Giskard Hub is a contact-sales enterprise product, not a self-serve SaaS.

It integrates with existing agent stacks via APIs, supports non-technical annotators through a red-teaming playground, and generates test cases from both internal knowledge and external threat intelligence. The obvious caveat is that pricing is opaque and the platform is overkill if you just want quick eval scripts against a prototype.

Editor's take

Giskard is one of the few AI eval vendors that treats LLM testing like real security work instead of a Jupyter notebook full of metrics. The open-source library is genuinely useful on its own, and the Hub is a credible enterprise buy for banks and large retailers. Expect a sales call, not a credit-card checkout.

— The AI Tool Bible editorial team