Case study
Secure Analytics Platform for Government Agency
A government department required a scalable, secure AWS environment for data scientists to train and deploy fraud-detection models rapidly.
- Industry
- Government & Public Sector
- Duration
- 24 months
The challenge
Two requirements pulled against each other. The security and compliance bar was high, as it should be for public sector data at this sensitivity. But a platform so locked down that deploying a model takes weeks does not get used, and the fraud it was meant to detect continues.
The approach
Octasoft led a team of engineers architecting the first version of the platform.
Security was handled structurally, not procedurally. Multi-VPC and subnet configurations with transit gateways meant isolation was a property of the network design, not something depending on correct configuration each time. Encryption was comprehensive, both client-side and server-side across the AWS services in use, so meeting the regulatory requirement did not depend on remembering to enable it.
The self-service layer was built on AWS Athena, letting data scientists work without raising infrastructure tickets, inside boundaries the platform enforced.
The outcome
- A secure, compliant platform meeting government security standards
- Data scientists deploying models roughly ten times faster than the previous manual process
- Reusable components subsequently adopted across several government programmes
- Full end-to-end encryption satisfying the regulatory requirement
The component reuse across other programmes was the strongest signal. Infrastructure built for one department turned out to be worth adopting elsewhere, which does not happen when a platform is too specific to its first use.
Next step
Facing a problem like this one?
We work on platform engagements where the constraints are real and the outcome is measurable. Describe yours and we will tell you whether we are the right people for it.
