
Advent Prompt Pwn
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| Fact | Advent Prompt Pwn | Giskard |
|---|---|---|
| Integrations | Targets include custom HTTP JSON APIs, OpenAI-compatible APIs, Ollama, Python callbacks, and preview adapters for OpenAI, Azure OpenAI, Anthropic, and Gemini. | The earlier product description lists compatibility with Hugging Face, MLflow, Weights & Biases, PyTorch, TensorFlow and LangChain. |
| License | The project’s GitHub page identifies the source as Apache License 2.0. | The public giskard-oss repository is marked Apache-2.0 licensed. |
| Purpose | Advent Prompt Pwn is a typed Python toolkit for authorized adversarial testing of language models and AI applications. | Giskard describes its platform as a way to find vulnerabilities in AI agents before they reach production. |
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It suits practitioners conducting authorized assessments of language models and AI applications who need bounded runs, configurable checks, and exportable reports. Use is restricted to systems or targets with appropriate authorization.
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.