Transform Cloud Documentation into Security Baselines with OpenAI and GDrive

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Built by Raphael De Carvalho Florencio Raphael De Carvalho Florencio
Created on June 05, 2026

Description

What this template does

Transforms provider documentation (URLs) into an auditable, enforceable multicloud security control baseline. It:

Fetches and sanitizes HTML
Uses AI to extract security requirements (strict 3-line TXT blocks)
Composes enforceable controls** (strict 7-line TXT blocks with true-equivalence consolidation)
Builds the final baseline* (TXT or JSON, see *Outputs) with a Technology: header
Returns a downloadable artifact via webhook and can append/create the file in Google Drive

Why it’s useful

Eliminates manual copy-paste and produces a consistent, portable baseline ready for review, audit, or enforcement tooling—ideal for rapidly generating or refreshing baselines across cloud providers and services.

Multicloud support

The workflow is multicloud by design. Provide the target cloud in the request and run the same pipeline for:

AWS, **Azure, GCP (out of the box)
Extensible to other providers/services by adjusting prompts and routing logic

How it works (high level)

POST /create (Basic Auth) with { cloudProvider, technology, urls[] }
Input validation → generate uuid → resolve Google Drive folder (search-or-create)
Download & sanitize each URL
AI pipeline: Extractor → Composer → Baseline Builder → (optional) Baseline Auditor
Append/create file in Drive and return a downloadable artifact (TXT/JSON) via webhook

Request (webhook)

Method: POST
URL: https://<your-n8n>/webhook/create
Auth: Basic Auth
Headers: Content-Type: application/json

Example input (Postman/CLI)

{
"cloudProvider": "aws",
"technology": "Amazon S3",
"urls": [
"https://docs.aws.amazon.com/AmazonS3/latest/userguide/security-best-practices.html",
"https://www.trendmicro.com/cloudoneconformity/knowledge-base/aws/S3/",
"https://repost.aws/knowledge-center/secure-s3-resources"
]
}

Field reference

cloudProvider (string, required) — case-insensitive. Supported: aws, azure, gcp.
technology (string, required) — e.g., "Amazon S3", "Azure Storage", "Google Cloud Storage".
urls (string\[], required) — 1–20 http(s) URLs (official/reputable docs).

Optional (Google Drive destination):

gdriveTargetId (string) — Google Drive folderId used for append/create.
gdrivePath (string) — Path like "DefySec/Baselines" (folders are created if missing).
gdriveTargetName (string) — Folder name to find/create under root.

Optional (Assistant overrides):

assistantExtractorId, assistantComposerId, assistantBaselineId, assistantAuditorId (strings)

Resolution precedence

Drive: gdriveTargetId → gdrivePath → gdriveTargetName → default folder.
Assistants: explicit IDs above → dynamic resolution by name (expects 1_DefySec_Extractor, 2_DefySec_Control_Composer, 3_DefySec Baseline Builder, 4_DefySec_Baseline_Auditor).

Validation

Rejects empty urls or non-http(s) schemes; normalizes cloudProvider to aws|azure|gcp.
Sanitizes fetched HTML (removes scripts/styles/headers) before AI steps.

Outputs

Primary:* downloadable *TXT** file controls_<technology>_<timestamp>.txt (via webhook).
Composer outcomes:** if no groups to consolidate → NO_CONTROLS_TO_BE_CONSOLIDATED; if nothing valid remains → NO_CONTROLS_FOUND. 
JSON path:* when the Builder stage is configured for *JSON-only** output (strict schema), the workflow returns a .json artifact and the Auditor validates it (see next section). 

Techniques used (from the built-in assistants)

Provider-aware extraction with strict TXT contract (3 lines):* Extractor limits itself to the declared provider/technology, outputs only Description/Reference/SecurityObjective, and applies a *reflexive quality check** before emitting. 
Normalization & strict header parsing:** Composer normalizes whitespace/fences, requires the CloudProvider/Technology header, and ignores anything outside the exact 3-line block shape. 
True-equivalence grouping & consolidation:* Composer groups *only** when intent, enforcement locus/mechanism, scope, and mode/setting all match—otherwise items remain distinct. 
7-line enforceable control format:* Composer renders each (consolidated or unique) control in *exactly seven labeled lines** to keep results auditable and automatable. 
Builder with JSON-only schema & technology inference:* Builder parses 7-line blocks, infers technology, consolidates true equivalents again if needed, and returns *pure JSON** matching a canonical schema (with counters in meta). 
Self-evaluation loop (Auditor):* Auditor *unwraps transport, validates **schema & content, checks provider terminology/scope/automation, and returns either GOOD_ENOUGH or a JSON instruction set for the Builder to fix and re-emit—enabling reflective improvement. 
Reference prioritization:** Across stages, official provider documentation is preferred in References (AWS/Azure/GCP). 

Customization & extensions

Prompt-reflective techniques:** keep (or extend) the Auditor loop to add more review passes and quality gates. 
Compliance assistants:* add assistants to analyze/label controls for *HIPAA, PCI DSS, SOX** (and others), emitting mappings, gaps, and remediation notes.
Implementation context:* feed internal implementation docs, runbooks, or *Architecture Decision Records (ADRs); use these as **grounding to generate or refine controls (works with local/self-hosted LLMs, too).
Local/self-hosted LLMs:** swap OpenAI nodes for your on-prem LLM endpoint while keeping the pipeline.
Provider-specific outputs:** extend the final stage to export Policy-as-Code or IaC snippets (Rego/Sentinel, CloudFormation Guard, Bicep/ARM, Terraform validations).

Assistant configuration & prompts

Full assistant configurations and prompts (Extractor, Composer, Baseline Builder, Baseline Auditor) are available here:
https://github.com/followdrabbit/n8nlabs/tree/main/Lab03%20-%20Multicloud%20AI%20Security%20Control%20Baseline%20Builder/Assistants

Security & privacy

No hardcoded secrets in HTTP nodes; use n8n’s Credential Manager.
Drive operations are optional and folder-scoped.
For sensitive environments, switch to a local LLM and provide only sanitized/approved inputs.

Quick test (curl)

curl -X POST "https://<your-n8n>/webhook/create" \
-u "<user>:<pass>" \
-H "Content-Type: application/json" \
-d '{
"cloudProvider":"aws",
"technology":"Amazon S3",
"urls":[
"https://docs.aws.amazon.com/AmazonS3/latest/userguide/security-best-practices.html"
]
}' \
-OJ

Nodes Used (4)

Code
n8n-nodes-base.code
Google Drive
n8n-nodes-base.googleDrive
HTTP Request
n8n-nodes-base.httpRequest
OpenAI
@n8n/n8n-nodes-langchain.openAi