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Global investment bank adopts database security and policy as code in Azure cloud

Global investment bank adopts database security and policy as code in Azure cloud

Policy as code ensures best-practice security baselines for cloud databases

As part of its cloud migration strategy, this global investment bank needed to be able to define standard security policies then deploy once on a virtual machine to ease future releases and ensure consistency.

Close-up of intricate blue crystal formations, symbolising the precision and security of database management and policy as code in the Azure Cloud. — Learn how a global investment bank is enhancing its security and compliance by adopting database security and policy as code within the Azure Cloud. This image of detailed blue crystal formations represents the meticulous and secure handling of data in cloud environments.

Cloud engineering

Cloud platform development

Process optimization

Rapid deployment of new projects and services

Security policies

Security best practice assured

Partner

Microsoft Azure

Microsoft enables digital transformation for the era of an intelligent cloud and an intelligent edge.

Challenge

The need for a mechanism to enforce security standards

As part of its cloud migration strategy, this global investment bank needed to be able to define standard security policies then deploy once on a virtual machine to ease future releases and ensure consistency.
To achieve this, there was a need to:

Set baseline security and best practice for Oracle/Postgres databases
Codify security policies to be applied to the Azure cloud environment
Add policies to a CI/CD pipeline with accompanying test framework
Free developers to deploy databases in Azure without needing to re-create security controls each time

Engagement

Security process engineering

Already a trusted partner of the bank, GFT was engaged to:

Examine the control environment pipeline and modify to accept policy as code
Select a specific test framework using typescript for positive and negative policy tests
Document and agree to security standards and baseline with CSO
Create a policy-as-code library using Terraform to implement the policies
Perform standard tests via the pipeline to ensure the policies behaved as required

Benefit

Self-service deployments of databases with enforced controls

GFT has empowered the bank to accelerate its cloud strategy in several ways:

With a codified policy set, the bank can self-serve database deployment in Azure
A thoroughly tested pipeline provides the ability to change security controls or add to them without introducing insecure configurations
Policy as code assures continuous compliance for databases on the whole platform, with any user changes not meeting the security controls being rejected