Directory context | LLM Security and Red Teaming
PromptInject
A framework that assembles adversarial prompts
Direct answer
What is PromptInject?
PromptInject is included in the Awesome MLSecOps LLM Security and Red Teaming directory. The community-maintained README describes it as: “A framework that assembles adversarial prompts.” Its MLSecOps relevance is the testing or control of prompts, model behavior, retrieval paths, tool calls, outputs, or guardrails under adversarial input. The linked first-party source is the agencyenterprise/PromptInject repository on GitHub. A technical review should test the project's documented evidence across four criteria: Threat and model coverage, Reproducible evaluations, CI and reporting support, and Sensitive-data handling. Compare that evidence with the intended architecture and threat model. Catalog inclusion establishes relevance to this security category; it is not a certification, comparative ranking, or endorsement. Confirm current capabilities, maintenance, licensing, limitations, and deployment assumptions in the first-party documentation before adoption.
A framework that assembles adversarial prompts
Neutral catalog description synchronized from the Awesome MLSecOps README
Before adoption
What should teams verify about PromptInject?
Answer these questions from current first-party documentation and testing evidence rather than relying on the directory listing alone.
- 01
Which models, APIs, RAG systems, or agent frameworks are explicitly supported?
- 02
Which prompt-injection, jailbreak, leakage, or tool-abuse scenarios are covered?
- 03
Are tests reproducible, versioned, and exportable to CI or reporting systems?
- 04
How are prompts, outputs, credentials, and other sensitive test data handled?