Purpose
Controls for retrieval trust, source contamination, prompt injection, sensitive data leakage and citation reliability.
Controls for retrieval trust, source contamination, prompt injection, sensitive data leakage and citation reliability.
Controls for retrieval trust, source contamination, prompt injection, sensitive data leakage and citation reliability.
Use the model to collect decision records, assumptions, risk boundaries, review checkpoints and operational evidence before relying on the output.
This framework supports structured review. It does not replace accountable expert review, certification, regulatory approval or operational sign-off.
Open a tool to turn the framework into an evidence checklist, readiness score or decision artifact.
Maps contamination paths from source material through retrieval into model output and downstream action.
open instrument → Agentic AI and RAG SecurityGenerates buyer or vendor assurance questions for model APIs, copilots, RAG platforms and agentic workflow vendors.
open instrument → Agentic AI and RAG SecurityBuilds separated risk, readiness and confidence safety-case artifacts for tool-using AI agents.
open instrument → Agentic AI and RAG SecurityBuilds a swimlane control map for user, agent, policy, memory, retrieval, tools, human approval, audit and rollback.
open instrument → Agentic AI and RAG SecurityDefines executable evaluation tasks, datasets, scorers, logs and JSON export contract for frontier/agentic systems.
open instrument → Agentic AI and RAG SecurityClassifies suspicious instruction patterns in test text and maps them to defensive containment recommendations.
open instrument →