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:
5. Output
Purpose: Displays the formatted answer to the user.