Architecture
A secure deployment architecture designed for customer control, trusted analytics, and AI-ready access.
The SynapseOps deployment model is designed to be disciplined and easy to follow: establish the customer environment, deploy the governed data foundation, complete the trusted connection path, and then make the live analytics experience available to users.
How the platform comes together
Establish, connect, validate, and go live with confidence
This sequence keeps deployment disciplined, reduces avoidable rework, and helps technical stakeholders stand the platform up in a controlled and supportable way.
- 01Provision the AI experienceCreate the customer environment and capture the deployment values needed to establish the secure operating model.
- 02Deploy the SynapseOps data foundationUse the deployment package to establish the customer-controlled platform components that prepare and govern data.
- 03Complete the secure connection pathConfirm the protected route between the customer deployment and the AI experience so governed data can be served reliably.
- 04Validate the platformRun the first controlled data load, confirm the governed data foundation is ready, and verify the AI experience is reading from the trusted platform layer.
1
AI Agent provisioned first
2
Customer deployment established as the second step
3
Secure path completed before usage
4
Validation before production reliance