39 focused services
Find the exact problem.
This library separates work by technical scope, not by interchangeable keywords. Start with the page closest to what is actually blocked.
Cloud security
Reduce cloud attack paths without making routine engineering depend on a security ticket.
Identity and access management consulting
Design and repair human and workload access across cloud accounts, delivery systems and production services.
Cloud security posture management
Turn posture findings from AWS, Google Cloud and Azure into a smaller, owned remediation programme.
Cloud incident response readiness
Prepare identities, logs, access and recovery procedures before a cloud incident creates the deadline.
Kubernetes security assessment
Review cluster boundaries, workload identity, admission controls, secrets, networks and runtime visibility.
Container security engineering
Secure how container images are built, stored, admitted and run without adding an unusable release gate.
Cloud network security consulting
Clarify internet exposure, service boundaries, private access and egress across cloud and Kubernetes networks.
Secrets management implementation
Remove long-lived credentials from source, CI/CD and workloads and establish a rotation path teams can operate.
Zero trust architecture consulting
Translate zero-trust principles into specific identity, device, network and workload decisions.
AWS IAM security review
Review AWS identities, cross-account trust and privilege paths from Organizations to individual workloads.
Amazon EKS security review
Assess EKS control-plane settings, AWS identities, Kubernetes policy and workload isolation together.
Google Cloud IAM security review
Trace access through Google Cloud organizations, folders, projects, groups and service accounts.
Google Kubernetes Engine security review
Review GKE modes, workload identity, network boundaries, admission policy and operational visibility.
Microsoft Entra ID security review
Review workforce and workload identities, Conditional Access and privileged paths across Azure tenants.
Azure Kubernetes Service security review
Assess AKS identity, cluster policy, networking and workload controls in the context of the Azure tenant.
DevOps & platform
Make delivery and operations calmer, more repeatable and easier for the owning team to change.
CI/CD pipeline engineering
Design and repair build, test, artifact, deployment and rollback paths for dependable releases.
Infrastructure as code consulting
Organise Terraform, Bicep, CloudFormation or Pulumi so infrastructure change is reviewable and repeatable.
Platform engineering consulting
Build a small paved road for common delivery and infrastructure needs without hiding the underlying system.
Site reliability engineering consulting
Turn reliability goals into measurable service behaviour, useful alerts and tested recovery work.
Observability engineering
Design logs, metrics and traces around the questions operators need to answer during change and failure.
Kubernetes platform consulting
Build or simplify Kubernetes platforms around the workloads, team size and operational maturity you actually have.
DevSecOps
Put useful security controls close to the change and give every actionable failure an owner.
Software supply chain security
Protect source, builds, dependencies and artifacts from unauthorised change through deployment.
SAST and SCA implementation
Implement static analysis and dependency checks with thresholds developers can understand and maintain.
Terraform security engineering
Add cloud-aware security policy and safe execution controls to Terraform delivery workflows.
Vulnerability management engineering
Build a path from detected vulnerability to accountable remediation across code, images and cloud workloads.
Compliance readiness
Turn control language into work the engineering and operations teams can perform repeatedly.
ISO 27001 readiness engineering
Prepare the technical control environment and operating evidence that support an ISO 27001 certification programme.
PCI DSS cloud readiness
Reduce cardholder-data scope and implement cloud and delivery controls for a PCI DSS assessment.
HIPAA cloud security readiness
Help US healthcare technology teams implement cloud safeguards around electronic protected health information.
Compliance evidence automation
Automate evidence where the source is reliable while keeping human decisions visible and reviewable.
MLOps & AI security
Ship and operate model-backed systems with clear data, deployment and monitoring boundaries.
MLOps consulting and engineering
Build reproducible paths for data, training, evaluation, model release and production operation.
Machine learning pipeline engineering
Turn training and evaluation steps into observable, repeatable pipelines with traceable inputs and outputs.
Model deployment security
Secure model artifacts, serving identities, endpoints and release controls from registry to production.
LLM application security assessment
Review data exposure, tool use, retrieval, prompt boundaries and abuse paths in LLM-backed applications.
AI application red teaming
Exercise agreed misuse, data and tool-abuse scenarios against an AI-enabled product before or after launch.
ML model monitoring engineering
Monitor model inputs, outputs, performance and operational health with owners for meaningful change.
Security testing
Validate specific attack paths with written authorisation and evidence an engineer can reproduce.
Cloud cost
Reduce avoidable spend without quietly removing reliability, security or delivery headroom.
Kubernetes cost optimization
Connect cluster spend to workloads and change requests, limits, nodes and scaling without weakening reliability.
Google Cloud cost optimization
Reduce Google Cloud waste through allocation, usage, commitments and workload architecture changes.
Microsoft Azure cost optimization
Explain Azure spend by subscription and workload, then implement safe usage, rate and architecture changes.
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