Shift security and privacy left — all the way to design.
Don't wait for your compliance team to ask. Build it in from inception by embedding security and privacy properties directly into your dataflow diagram.
That's risk-informed design.
With all that context layered on top of your dataflows, you're just a few clicks away from running risk assessments, or letting AI agents run them for you.
But wait, there's more! DataParade can draw your dataflow diagrams for you, straight from your code. Use our CLI tool or connect your GitHub repository to get started.
Deterministic scans run locally — your code never leaves your machine unless you say so.
The Problem
By the time security and privacy get a look, the design is shipped and the diagram — if one exists — is already out of date. Mapping how data actually moves is manual, tedious work, so it rarely happens until an audit forces it. The context that would surface real risk stays scattered across code, tickets, and docs, disconnected from the flows it describes.
Design-time context is the key to shifting left. Don't wait for your compliance teams to show up at launch time — build it into your designs today. They will LOVE you for it!
Risk exposure doesn't live in a policy document, it rides along every hop: storage, APIs, third parties, cross-border transfers. Follow the data and spot the risks.
The Solution
DataParade turns the dataflow diagram into a forcing function:
By embedding security and privacy context into it, you are producing the ultimate artifact for risk assessments and compliance evidence. Deterministic risk assessments are just a few clicks away. Agentic security and privacy engineers can suggest design improvements and risk mitigations.
Features
01 — Living diagram canvas
Model actors, assets, third parties, and boundaries on one canvas. Attach PII categories, encryption, retention, access controls, and jurisdiction on every node and edge — the structured input assessments and agents need.
02 — Single Source of Truth
Update an asset once and every diagram that uses it updates automatically. No more reconciling five different versions of what Stripe receives from your checkout service.
| Asset | Type |
|---|---|
| users_postgres | Database |
| checkout-api | Service |
| stripe-payments | Third-Party |
| analytics-warehouse | Database |
03 — Automated Repository Scan
Run @dataparade/cli against any repository and let it detect data components and flows automatically. Stop updating diagrams by hand. Let the code tell the truth.
04 — Privacy & Security Risk
Privacy and security shouldn't live in different spreadsheets. DataParade evaluates every flow on the diagram you drew against configurable rules aligned with GDPR, CCPA, and SOC 2 — PII over an unencrypted edge, missing DPA, EU boundary crossings — and returns a prioritized report grounded in structured context.
Built for what comes next
Diagrams today are the input layer. The same structured artifact that powers immediate assessments is what makes future AI agent workflows reliable in a regulated domain — without promising magic over unstructured PDFs.
The Scanner
We didn't point an LLM at your repo and hope. A deterministic pattern engine derives your dataflow graph directly from the code — an optional AI pass enriches it, and every suggestion has to cite its evidence. The diagram is derived, not dreamed.
Pattern analyzers map API endpoints, data stores, third-party services, auth, and infrastructure straight from your code — no model in the loop. Scans are reproducible by design: same code in, same diagram out, every time.
Optional enrichment fills in what patterns can't — but every AI suggestion is confidence-scored and must cite exact file-and-line evidence from your repo, or it's rejected. Bring your own key, use ours, or point it at a local model.
The structural scan runs entirely on your machine and makes zero network calls. Your .env files are never read, and raw source never leaves the scan — the diagram carries only file paths and line numbers.
Speaks your stack
TypeScript · JavaScript · Python · Terraform
Express · NestJS · Next.js · FastAPI · Flask · Django · Prisma · TypeORM · Sequelize · Mongoose · SQLAlchemy — plus 1,700+ AWS resource types, Azure, and Kubernetes via Terraform
$ npx @dataparade/cli scan ./src
How It Works
Run the DataParade CLI on your codebase. It scans for data-handling code and generates your first diagram automatically.
Open the visual editor and confirm auto-detected flows. Classify security and privacy on nodes and edges — PII, encryption, retention, access controls — and invite trust engineers to collaborate in real time.
Generate a privacy and security risk report grounded in the diagram — aligned with GDPR, CCPA, or your internal policies. Export as PDF or share a live link with audit-ready structured context.
Product Demo
From repository scan to structured diagram to risk assessment — the path trust engineers use to replace guesswork with agent-ready context.
Get Started
Tell us a bit about yourself. Takes under a minute — we'll tailor the demo to you.
Mina
Does PII leave the EU on this path?