SECURITY & CLOUD IMPLEMENTATION · BLOG 04

Cloud security by design

A practical guide to building secure Azure and AWS foundations, from identity and configuration to telemetry that helps teams act early.

Cloud Security7 min readFor cloud & platform leaders

CLOUD CONTROL LOOPDesign it. Observe it. Prove it.

01MapInventory accounts, subscriptions, workloads and data flows.

02HardenApply identity, network and workload guardrails.

03PipeRoute logs and signals into a usable detection layer.

04MeasureTrack posture, exceptions and control effectiveness.

05ImproveTurn findings into repeatable engineering patterns.

Cloud security is an operating model

Secure cloud adoption is not a one-time checklist. It is the combination of guardrails, ownership and evidence that keeps changing environments within an agreed risk boundary.

Azure and AWS offer strong native controls, but value comes from connecting them to how teams build and operate: who can change a resource, which logs are retained, how exceptions are approved and how quickly a risky change is detected.

The controls that create a durable foundation

Identity firstUse least privilege, strong authentication, workload identities and time-bound elevation.

Posture visibilityUse CSPM findings to prioritise internet exposure, misconfiguration and drift.

Useful telemetryRoute control-plane, identity, endpoint and workload logs with clear retention.

Evidence by designKeep owners, exceptions, remediation and validation visible for audit and risk reviews.

A real-world example: a multi-account SaaS platform

Illustrative scenario

A growing SaaS company operated workloads across Azure and AWS. Security alerts were arriving, but teams could not tell which subscription or account owned a risky change, and endpoint logs were not consistently available.

The team created a landing-zone baseline, tightened privileged access, enabled CSPM checks and routed Azure diagnostic settings, DCR-connected telemetry, Sysmon events and AWS CloudTrail signals into a central analytics workspace.

Within weeks, an exposed storage configuration was detected, assigned to the correct owner and remediated before customer data was affected. The same control pattern was then applied to new environments through infrastructure-as-code.

Recommendations for secure cloud delivery

Set guardrails before scale

Define the minimum identity, network, logging and encryption controls before new subscriptions or accounts are approved.

Make log piping intentional

Document which source feeds which destination, the required retention and who investigates the signal. A collected log that nobody can use is not assurance.

Use exceptions with expiry dates

Record why a control is temporarily relaxed, who accepted the risk and when the decision will be reviewed.

Automate the repeatable

Use policy-as-code, templates and deployment checks to keep secure defaults consistent across Azure and AWS.

Cloud confidence comes from repeatability: the same secure pattern should survive a new account, a new region and the next engineering team.

Good cloud security makes the safe path the easiest path to deploy.

Building a safer cloud foundation?

KIS helps teams connect cloud controls, telemetry and evidence into an operating model that scales.

Talk to our team →

Cloud Security by Design