Consultancy and Services
Cybersecurity Strategy, Engineering & GRC
Strengthen the controls around your data, identities and critical systems.
Purpose & context
Strengthen the controls around your data, identities and critical systems.
We help organisations reduce security risk across the systems that collect, transmit, store, process, analyse and share data. Engagements combine architecture and access-control review, hands-on security testing, threat-informed hardening, detection and response design, and governance support. Threat intelligence remains important because it grounds testing in the platforms, languages and attack behaviours that matter to the organisation. Where AI or machine-learning components are present, we assess their security as part of the wider data and system architecture rather than treating them as a separate technology programme.
A good fit when
- You need to strengthen security across several connected applications, data stores, identities or third-party services.
- You want security recommendations backed by authorised testing and architectural evidence rather than policy alone.
- Leadership needs a practical risk and governance programme that connects technical controls with ISO, NIST or regulatory obligations.
Services in this area
Practical support for your priorities.
Pipeline and architecture security
Map data flows, trust boundaries, integrations and privileged paths from capture through disposal, then identify where controls need to be redesigned or strengthened.
Identity and access hardening
Review authentication, authorisation, privileged access, service accounts, machine identities, secrets, tenant separation and approval boundaries so compromise of one identity does not expose the whole environment.
Threat-informed testing and response
Use relevant threat intelligence to guide authorised application, API, infrastructure and social-engineering assessments, then improve telemetry, detections, incident playbooks and recovery exercises.
Security and data GRC
Build risk registers, control mappings, governance processes and readiness plans for information security and privacy. Support alignment with ISO/IEC 27001 and ISO/IEC 27701, with ISO/IEC 42001, NIST AI RMF and EU AI Act readiness added only where AI systems are genuinely in scope.
What we cover
Focused work. Useful evidence.
Full data-lifecycle and architecture threat modelling
Identity, privileged-access and non-human identity governance
Application, API, infrastructure and cloud security review
Data-pipeline integrity and third-party integration assessment
Threat-intelligence-led detection and response engineering
Incident-response, tabletop and recovery-readiness exercises
Security risk assessment and ISO/IEC 27001 readiness support
Privacy control alignment and ISO/IEC 27701 readiness support
AI/ML security and governance assessment when those systems form part of the client's data environment
What you take forward
Outputs designed to be used.
The final scope is agreed together. Depending on your needs, the engagement can include:
- Security architecture and data-flow assessment
- Prioritised technical findings and remediation plan
- Identity and access-control hardening design
- Detection and incident-response improvement plan
- Security risk register and control-mapping workbook
- ISO/NIST/regulatory readiness gap assessment where required
- Executive summary linking technical risk to business decisions
How we approach it
From the question to a practical next step.
Map the operating environment
Trace important data, identities, applications, infrastructure and suppliers. Agree the systems in scope, authorised access, business impact and the controls that matter most.
Validate and harden
Test agreed technical controls, investigate meaningful weaknesses and work with implementation teams on access, configuration, architecture, logging and resilience improvements.
Operationalise assurance
Retest material fixes, establish useful detections and response procedures, and connect remaining risks to accountable governance actions and relevant standards or regulatory requirements.
Illustrative use case
What this can look like in practice.
A client operates field collection tools, web applications, cloud storage, analytics services and several partner integrations. We can trace sensitive data across those components, review identity and service-account permissions, test exposed application and API boundaries, validate monitoring and response controls, and produce a technical hardening plan tied to the organisation's risk and governance requirements.
An example of the work—not a client case study.Reference frameworks
Explore independent guidance that can inform the scope and evaluation criteria for this work. These links do not imply accreditation or endorsement.
Planning an engagement
What should we prepare?
Bring the decision you need to make, a description of the relevant systems or data, known constraints and your timeline. We can agree the appropriate access and confidentiality arrangements before any sensitive information is shared.
How do we define success?
We agree specific questions and useful outputs at the start. Outputs such as security architecture and data-flow assessment are reviewed against the decisions you need to make. Limitations, dependencies and follow-up work remain visible in the handover.