Overview
Having a cluster that works is different from having one that is safe. By default, every workload can talk to every other, containers run with root privileges, nothing has resource limits and secrets are barely obscured in the cluster's data store. We work across the managed cluster you already run and tighten these defaults without taking services offline. Every change is saved as a manifest file, so your hardened configuration stays reviewable and repeatable for your team.
What you receive
- Traffic blocked by default, with permitted flows declared namespace by namespace
- Access permissions trimmed so each workload identity has only what it needs
- Security standards stopping containers running as root and making filesystems read-only
- CPU and memory requests plus limits, sized from measured consumption
- Secrets migrated to a managed secrets store, synced in a controlled way
- Pipeline-stage image scans backed by a written policy for critical issues
- Residual risk report, including items deliberately left unchanged
How it runs
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Step - 01
Baseline
We run automated benchmark checks and a manual review of your cluster.
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Step - 02
Prioritise
Each issue is ordered by exploitability and how far damage could spread.
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Step - 03
Remediate
Changes roll out one namespace at a time, staging before production.
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Step - 04
Verify
We rescan, confirm workloads are healthy and hand over all manifests.
Timeline: 15 working days, counted from the day we receive what we need from you.
Is it a fit?
A good match for
- Clusters thrown together mid-migration and untouched ever since
- Teams completing a large customer's security questionnaire
- Platforms where one breached service could get to the database
What we need from you
- Full cluster privileges, plus a staging cluster that mirrors production
- An owner for each workload to answer our traffic questions
- A change window for switching network policies on
Why it helps
- One compromised container cannot roam the rest of the cluster
- Heavy services no longer starve neighbouring workloads of CPU and memory
- Written evidence ready for your next customer security review
Questions
We observe the traffic your services really send, then introduce policies in staging first, so any problems show up there rather than affecting production.
Yes, for verification, through a temporary account that you set up and later delete. You review every change before it is applied to production.
The aim is to tighten defaults without taking workloads offline. Changes are rolled out one namespace at a time during agreed change windows, with staging always done first.