Move Fast, Without Breaking Things.
Practice risk-informed design with living dataflow diagrams.
DataParade turns code into a living dataflow diagram and privacy+security posture graph, so your team tracks risks as fast as your agents write code. Try our free open-source scanner today.
The problem
Cognitive Debt = Risk
Agents write code faster than anyone can understand it, while risk accumulates.
Dataflow diagrams are the fastest way to rebuild that understanding.
You send a feature idea to a coding agent and tell it to start cooking.
You wake up and find it built, tests are green, and maybe it`s already deployed.
You`re already working on the next thing while nobody on the team can explain what changed.
The comprehension gap
Developers can’t explain what their agents shipped, so they can’t safely iterate on it.
The risk gap
Nobody can say where sensitive data flows, so risk grows silently with every push.
Whether you’re building for yourself, working on a startup, or shipping enterprise code, the struggle is real. But who’s got time to create and maintain dataflow diagrams? Am I right?
The solution
Shift left to the coding agent.
Flag risk before it ships.
Scan
Our free open-source scanner reads your repo and generates the dataflow diagram and posture graph.
Annotate
Our agentic interviewer asks your engineers and their agents for the context not found in the repo.
Sync
Our MCP server keeps your agents in sync with the graph so they can flag risks before they merge.
Click-ops
Risk assessments, threat models, and audit evidence become queries on the graph, not tedious chores.
The ultimate dataflow diagram
Privacy and security properties
on every node and edge.
DataParade draws your system in the C4 model, the way engineers already describe architecture. Zoom from the whole system down to a single line of code, and the privacy and security context comes with you.
L1System
Your system, the people who use it, and every third party touching sensitive data.
L2Container
Apps, services, and data stores, and the trust boundaries between them.
L3Component
The modules inside each service that read, transform, and send data.
L4Code
The exact file and line that moves each data item.
- Data categories
- payment card, contact info
- Data subjects
- customers
- Purpose
- payment processing
- Encryption in transit
- TLS
- Cross-border transfer
- yescomputed
- Risk
- highcomputed
Illustrative. Properties are drafted from the code and your team’s answers; risk and cross-border transfers are computed from your posture graph.
Always current, never stale
Hand-drawn diagrams are out of date by the next push. DataParade rebuilds from the repo and stays in sync as your agents ship.
Maps dataflow, not just code
Code graphs show files and functions. DataParade tracks what the data is, where it flows, and who touches it.
Privacy + Security, stacked
Encryption, access, and trust boundaries sit next to data categories, purpose, and jurisdiction, so one review covers both.
Audit-grade evidence
Every node and edge cites the lines of code behind it, and every answer from your team records who gave it.
For coding agents
Put the reviewer inside the agent.
The DataParade MCP server exposes the posture graph as tools your coding agent can call. Findings reach the agent that is writing the code, before the commit exists.
- You
Add Stripe checkout to the signup flow.
- Agent
Before I write anything, checking what data this path handles.
- DataParade
- card data → restricted
- payments component → attested boundary
- signup → Stripe: not in the intended diagram
- Agent
This adds a new flow of restricted data to a third party. Route it through the payments service, or record it as intended for review?
Ask the graph
Which components touch card data? What crosses a trust boundary? What did the team mark as intended? The agent asks before it writes.
Record with provenance
New flows and classifications land as drafts, attributed to the agent and the developer. A reviewer accepts them in the app. The server never edits your repo and never blocks a merge.
See the diagram in the chat
The dataflow diagram renders inline in the agent’s chat, or the agent drives the diagram open in your browser tab.
Next up: change review. Scan only what a change touched and diff it against the saved diagram, so a contradiction stops the agent before the commit.
Works with any MCP client: Claude Code, Cursor, Codex, Windsurf and more. Now in development with our design partners.
Book a demo
Move fast without breaking things.
Practice risk-informed design with our living dataflow diagrams. We reply within one business day with times.