AGENTIC AI AND RAG SECURITY

AI Vendor Assurance Questionnaire Builder.

Additional page sections

Generates buyer or vendor assurance questions for model APIs, copilots, RAG platforms and agentic workflow vendors.

Version 2.7 Beta Protected engine AI vendor assurance questionnaire
PURPOSE

Decision supported.

Generates buyer or vendor assurance questions for model APIs, copilots, RAG platforms and agentic workflow vendors.

Intended user

research, assurance and technical review teams

Output status

Preliminary outputHuman review requiredNot certification
USE CASES

Where this instrument fits.

  • Prepare AI procurement due diligence
  • Create vendor evidence request packs
  • Compare AI supplier controls
  • Generate follow-up questions for agentic or RAG platforms
INPUTS

Required input fields.

  • Mode (required): Buyer mode, Vendor response preparation
  • Vendor type (required): Model API, SaaS copilot, RAG platform, Agentic workflow platform, ...
  • Data exposure (required): No customer data, Metadata only, Business content, Regulated or sensitive data
  • System action (required): Advisory only, Workflow updates, External communications or transactions
  • Current vendor evidence (required): Absent, Draft, Reviewed, Reviewed and monitored

Data handling: this interface uses the L2ET protected same-origin instrument engine. Do not enter confidential, regulated, privileged, incident, medical or sensitive operational data.

METHOD

Evidence Matrix logic.

Combines vendor type, data exposure and action severity to generate evidence questions, scoring-sheet fields and procurement follow-up topics.

Source families

vendor assurance practiceAI procurement governancesecure supplier review

Assumptions

  • Questions are generic starting points.
  • Contract and legal language require specialist review.
  • Vendor answers must be validated separately.
INTERACTIVE INSTRUMENT

AI vendor assurance questionnaire.

Use the controls below to generate a preliminary artifact. The output is intentionally bounded and requires human review.

OUTPUT ARTIFACT

AI vendor assurance questionnaire.

The generated artifact includes findings, assumptions, limitations, recommended next actions and exportable structured output.

Export options

Copy outputMarkdownJSONCSVPDF/print
EXAMPLE

Example input and output.

Example input

Buyer mode for a RAG platform processing business content with workflow updates and draft evidence.

Example output

Outputs questionnaire sections on data handling, RAG controls, tool permissions, logging, incident response and model governance.

LIMITATIONS

What this tool does not do.

  • Does not verify vendor claims.
  • Does not provide legal advice.
  • Does not score hidden security posture.

This instrument does not provide legal, medical, cryptographic, engineering, regulatory or compliance certification.

RELATED METHOD

Method and workflow links.

Read the family method note for assumptions, output artifacts, update policy and review boundaries.

Open methodology Open family

RELATED TOOLS

Suggested workflow sequence.

Agentic Workflow Rail

Builds a swimlane control map for user, agent, policy, memory, retrieval, tools, human approval, audit and rollback.

open instrument →

Agentic AI Permission Boundary Designer

Creates an allow/deny permission-boundary architecture for tool-using AI systems.

open instrument →

RAG Contamination Threat Model

Maps contamination paths from source material through retrieval into model output and downstream action.

open instrument →
CHANGELOG

Version history.

  • v2.7 - Research-grade instrument template, method notes, assumptions, limitations, example and export actions added.
  • Last updated: 2026-05-27.
  • Maturity state: Beta.