I do the technical half of compliance: the controls, the evidence and the automation behind an audit. I am an engineer, not a lawyer — I build and prove the controls, and I work alongside whoever gives you legal advice.
SOC 2 readiness (technical controls and evidence)
I map your environment to the controls an auditor will ask about, close the technical gaps, and automate evidence collection so the next audit is a report, not a scramble.
- —Control gap analysis
- —Remediation build-out
- —Automated evidence pipeline
- —Auditor-ready documentation
ISO 27001 technical implementation support
Annex A controls translated into real cloud configuration — access control, logging, cryptography, backup, change management — with the artefacts your certification body expects.
- —Control mapping
- —Configuration changes
- —Evidence artefacts
- —Internal audit prep
HIPAA technical safeguards
For health platforms: encryption, audit controls, access management, retention and BAA-scoped architecture, implemented and documented against the security rule.
- —Safeguard implementation
- —Audit log integrity
- —Retention and backup controls
- —Scope documentation
GDPR, NDPA and privacy engineering
Data mapping, residency, minimisation, DSAR handling and deletion that actually deletes — built into the system rather than promised in a policy document.
- —Data inventory and flows
- —Residency controls
- —DSAR and deletion workflows
- —Processor documentation
Cloud governance and policy-as-code
Guardrails at the organisation level: landing zones, org policies, tagging, budget and access baselines enforced automatically for every new project or subscription.
- —Landing zone design
- —Org policy baseline
- —Tagging and naming standards
- —Automated guardrails
Third-party and vendor risk review
A technical review of the vendors handling your data — what they access, how they authenticate, what happens when they are breached — plus the questionnaire answers you keep re-writing.
- —Vendor inventory
- —Access and integration review
- —Risk ratings
- —Reusable questionnaire responses
AI risk management and AI governance
Model inventory, risk classification, bias and drift monitoring, human-review checkpoints and documentation aligned to emerging AI risk frameworks — the work I do with risk teams today.
- —Model and use-case inventory
- —Risk classification
- —Monitoring and review controls
- —Governance documentation
Security awareness and engineering training
Live, hands-on sessions for your engineers and support staff on cloud security, Kubernetes, Intune, RHEL, GDPR or secure delivery — the format I run for banks and enterprises.
- —Tailored curriculum
- —Live workshop
- —Lab exercises
- —Recording and handbook