SC Cleared · UK-Based Phil Hynes · LinkedIn

Azure Engineering
& Cloud Security
Consultancy

Independent consultancy delivering secure Azure architectures, threat modelling, compliance roadmaps, and Microsoft Defender/Sentinel implementations for commercial organisations across the UK.

Frameworks & Standards
  • NIST CSF 2.0
  • NIST 800-53
  • NIST AI RMF
  • ISO 27001
  • CIS Benchmarks
  • MITRE ATT&CK
  • NCSC CAF
  • CIA Triad
  • Secure by Design
Services

End-to-end Azure security
& engineering delivery

Hands-on, implementation-led consultancy. No generalist advice — every engagement delivers working architecture, documented controls, and measurable outcomes.

Threat Modelling

STRIDE-based threat modelling for Azure workloads, APIs, and integration patterns. Data Flow Diagram construction, attack surface analysis, and control prioritisation mapped to MITRE ATT&CK.

STRIDE DFDs MITRE ATT&CK
Full details

Compliance & Roadmaps

Gap analysis against NIST CSF, ISO 27001, and CIS benchmarks. Structured remediation roadmaps, HLD/LLD documentation, and board-ready reporting to drive security programme delivery.

NIST CSF ISO 27001 Gap Analysis
Full details

Azure Platform Engineering

Function Apps, Logic Apps, API Management, AKS, and DevOps pipeline implementation. Infrastructure as Code with Terraform and ARM. CI/CD integration, Managed Identity patterns, and Key Vault architecture.

Terraform Azure DevOps APIM AKS
Full details

Copilot & AI Guardrails

Configure and enforce governance controls for Microsoft 365 Copilot and Azure OpenAI deployments. Map AI risk to the NIST AI RMF and CIA Triad, implement oversharing prevention, and harden prompts against injection and data exfiltration — before AI adoption creates compliance exposure.

M365 Copilot NIST AI RMF CIA Triad Prompt Injection AI Adoption
Full details

Purview Data Governance

End-to-end Microsoft Purview implementation — data classification, sensitivity labels, DLP policies, and Information Protection across M365 and Azure data estates. Includes DSPM for AI to surface and remediate data exposed to Copilot, with full audit trail and compliance reporting.

Microsoft Purview Sensitivity Labels DLP DSPM for AI Information Protection
Full details
Approach

How an engagement works

01
Discovery & Scoping

Initial call to understand your environment, current posture, and priorities. Agree scope, deliverables, and engagement model — contract, part-time, or advisory.

02
Assessment & Design

Architecture review, gap analysis against relevant frameworks, and threat modelling. Produce HLD/LLD documentation and a prioritised control roadmap.

03
Implementation

Hands-on delivery inside your Azure and M365 environment. Terraform/ARM-codified infrastructure, Sentinel rules, Defender policies, and Purview data controls — documented end to end.

04
Knowledge Transfer

Runbooks, SOPs, and walkthrough sessions ensure your team can operate and extend what's been built. Ongoing part-time support available after project completion.

25+
Years infrastructure & security experience
7+
Years Azure & M365 security specialisation
SC
Active SC clearance — UK government eligible
6+
Major compliance frameworks applied in production

Ready to strengthen your Azure security posture?

Contract and part-time engagements available. Get in touch to discuss your requirements — no obligation.

Book a Discovery Call