Understand your exposure
Review your environment, business priorities and existing security measures to define the risks and the scope of work.
Security for your digital operations
Cybersecurity.
AI infrastructure.
Your environment.
Protect your systems, understand your risks and build the foundation for your AI workloads. Bring cybersecurity, rented infrastructure and a white-label AI operating system into one clearly scoped plan.
Your organisationPeople & applications
Your teams, workflows and business requirements.
Software layerWhite-label AI operating system
Your branding. Agreed user, model and application management.
Infrastructure layerRented AI infrastructure
Compute · storage · network
Access controls, responsibilities and support defined across the environment.
Cybersecurity services
A practical plan for stronger security.
Focus on the systems your business depends on. Identify the security work that matters, agree the right controls and turn the findings into a manageable programme of improvements.
Strengthen the essentials
Scope improvements to identity and access, system configuration, network controls and operational security practices.
Put the plan into practice
Agree the implementation work, ownership and evidence needed to assess progress. Fit the changes around your operational requirements.
Cybersecurity audits
Clear findings.
Actionable next steps.
Know what was assessed, what was found and what to do next. Each audit starts with an agreed scope and ends with findings your technical and business teams can use.
Define the assessment
Agree the systems, business priorities, assessment methods and named contacts. Confirm written authorisation, access requirements, exclusions and testing windows before work begins.
Review the agreed scope
Assess the selected configurations, access controls and security practices. Any active testing follows the agreed permissions and operational limits.
Explain the findings
Receive an executive summary and technical findings with supporting evidence, assessed severity and clear recommendations for the systems reviewed.
Plan the improvements
Prioritise remediation with owners and next steps. Agree any implementation support or follow-up validation as part of the proposal.
Your audit deliverables
Agreed scope and assessment limits · executive summary · evidence-based technical findings · prioritised remediation plan
AI infrastructure for rent
Capacity shaped around
your workloads.
Rent the infrastructure for your AI environment with the capacity, rental period and operating responsibilities set out in a proposal. Begin with the workloads you need to run and the way your teams will use them.
- Compute
- Workload, processing requirements and GPU needs where relevant.
- Storage
- Capacity, data flows, retention and backup requirements.
- Network & access
- Connectivity, access controls and integration with your environment.
- Rental term
- Expected usage, duration, capacity changes and exit arrangements.
- Support
- Operating responsibilities, support arrangements and escalation contacts.
- Data & location
- Hosting location, data handling and any residency requirements.
Share your requirements to confirm the available configuration, commercial terms and support scope.
White-label AI operating system
Your branded software.
Running on rented infrastructure.
Give your organisation a branded environment for using and managing AI. The white-label AI operating system runs on your rented AI infrastructure, connecting the software experience to the compute, storage and network underneath.
Define the software around your organisation
- Branding & experienceYour identity and the interface your teams or customers will use.
- Users & permissionsThe accounts, roles and access arrangements needed for your environment.
- Models & applicationsThe model access, application management and workflows included in your proposal.
- Integration & operationAgreed data connections, administration, updates and support responsibilities.
The proposal defines the software capabilities and the rented infrastructure together, including the boundary between your responsibilities and the service provided.
Planning your project
Questions before
you get started.
Can we start with a cybersecurity audit?
Yes. Start with the systems you want reviewed and the questions you need answered. The proposal defines scope, methods, deliverables and authorisation before the assessment begins.
Does an audit include penetration testing?
Assessment methods are agreed for each engagement. If active testing is required, its targets, permissions, testing windows and limits are explicitly included in the scope.
Can you help with the issues identified?
Remediation planning can follow the audit. Implementation support and follow-up validation are scoped separately or included in the agreed proposal, with responsibilities and priorities made clear.
What do we need to specify for AI infrastructure rental?
Tell us about the workloads or models, expected users, compute or GPU requirements, data volumes, hosting requirements and intended rental term. These details inform a capacity and support proposal.
How does the white-label AI operating system relate to the rental?
It is the branded software layer running on the rented infrastructure. The infrastructure provides the compute, storage and network; the operating system provides the agreed environment for users, models and applications. Branding, integrations, administration and support are defined together in the proposal.
Can the AI environment use our branding and existing systems?
Branding and integration requirements form part of the white-label scope. Share your identity requirements, user access model, applications and data connections so the proposal can define what will be configured and supported.
Start with your requirements.
Tell us about your systems, AI workloads and priorities. We’ll use the brief to discuss the scope, deliverables and next steps for your proposal.
