Crucible
5.8#17 in ai security testing toolsFree planFree planLinuxSelf-hosted
VisitCrucible vs Giskard
What both publish
| Fact | Crucible | Giskard |
|---|---|---|
| Integrations | It supports LangChain, CrewAI, AutoGen, raw MCP endpoints, and agents with an HTTP or MCP interface. | The earlier product description lists compatibility with Hugging Face, MLflow, Weights & Biases, PyTorch, TensorFlow and LangChain. |
| License | The core engine and test modules are described as Apache 2.0 and free, with no feature gating on security tests. | The public giskard-oss repository is marked Apache-2.0 licensed. |
| Purpose | Crucible stress-tests AI agents against attack vectors including prompt injection, goal hijacking, and tool misuse before production. | Giskard describes its platform as a way to find vulnerabilities in AI agents before they reach production. |
Crucible plans
- CommunityFree
- EnterprisePriced on request
- TeamPriced on request
Giskard plans
- FreeFree
- Open-sourceFree
- EnterprisePriced on request
- ProfessionalPriced on request
Pick Crucible if…
Crucible suits individual builders and open-source projects that want local agent security checks, as well as teams shipping agents to production. Its CI integration is relevant to users who want builds to fail when a configured security-score threshold is missed.
Pick Giskard if…
Giskard suits teams responsible for evaluating conversational AI agents through API endpoints before release. It also fits organizations needing enterprise red-team scans, custom evaluations, human review, or controlled deployment options.