Giskard
7.6#4 in ai security testing toolsFree planFree planWebAPILinuxSelf-hosted
VisitGiskard vs TruLens
What both publish
| Fact | Giskard | TruLens |
|---|---|---|
| Integrations | The earlier product description lists compatibility with Hugging Face, MLflow, Weights & Biases, PyTorch, TensorFlow and LangChain. | The documentation lists integrations and providers for LangChain, LangGraph, LlamaIndex, MCP, OpenAI, Anthropic, Amazon Bedrock, HuggingFace, LiteLLM, Google, and Snowflake Cortex. |
| Purpose | Giskard describes its platform as a way to find vulnerabilities in AI agents before they reach production. | TruLens evaluates and traces AI agents to help find failures and reduce costs while maintaining quality. |
Giskard plans
- FreeFree
- Open-sourceFree
- EnterprisePriced on request
- ProfessionalPriced on request
TruLens plans
- Open sourceFree
- Open-source TruLens libraryFree
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.
Pick TruLens if…
TruLens suits teams building AI agents, RAG systems, MCP apps, or summarizers who need trace inspection and evaluation. It is aimed at Python-based workflows and can instrument custom apps and listed frameworks.