How to build an InfoSec Questionnaire Assistant

This agent reviews security questionnaires, pulls accurate answers from your policies and past responses, and fills forms in the required format. It flags missing data, ensures compliance with standards, and maintains consistent, approved wording.

Challenge

Security questionnaires are long, repetitive, and highly detailed, often with hundreds of questions. Answers live in scattered docs, spreadsheets, and email threads, forcing teams to search manually and risk inconsistencies. Under tight deadlines, this leads to errors, delays, and missed opportunities, while security and compliance staff get pulled away from higher-value work.

Industry

Operations

Legal

SaaS

Department

Legal

Security

Integrations

OpenAI

TL;DR

  • Automates completing InfoSec questionnaires accurately using your policies and past answers. 

  • Extracts structured answers, flags missing data, ensures compliance, and keeps phrasing consistent. 

  • Greatly speeds up answering hundreds of security questions. 

  • Reduces manual workload for technical teams. 

  • Deploys quickly via Workflow Builder. 

Common Pain Points of InfoSec Questionnaires

  • Questionnaires are lengthy and detailed, spanning many security areas. 

  • Labor-intensive and specialized—slow and error prone.

  • Inconsistent wording raises compliance or legal concerns.

  • SMEs burdened with repetitive responses.

  • Tracking of past responses and approvals is low.

What the Agent Delivers

  • Pulls answers from your policy KB or past questionnaires. 

  • Identifies missing info and advises fixes. 

  • Ensures consistent, approved wording across responses. 

  • Automates form‑filling or draft generation.

  • Fast setup using Workflow Builder.

Step-by-Step Build (StackAI Nodes)

1. Text Input (in-0)

  • Purpose: User enters their InfoSec question (e.g., “How do you handle data encryption?”).

2. Files Upload (doc-0)

  • Purpose: User uploads InfoSec documentation (SOC2, ISO, security policies, etc.).

  • Note: This node is user-exposed, so files can be uploaded at runtime.

3. AI Assistant (LLM)

  • Purpose: Reviews both the user’s question and uploaded docs, then drafts a professional answer.

  • Prompt:



  • System Prompt:

  • Model: gpt-4o-mini

4. Template Formatting

  • Purpose: Formats the AI’s response for clarity and professionalism.

  • Example Template:

# InfoSec Answer

**Question:** {in-0}

**Answer:**

5. Output

  • Purpose: Displays the formatted answer to the user.

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Get started

Secure Connections. Trusted Data Handling.

We prioritize your security and privacy, ensuring safe database connectivity with strict data processing controls.

Get started

Secure Connections. Trusted Data Handling.

We prioritize your security and privacy, ensuring safe database connectivity with strict data processing controls.