Zero Trust Identity Modernisation
Industry
Regulated Enterprise / Financial Services
Challenge
Legacy Active Directory environment with:
- Uncontrolled privileged access across administrative and service accounts
- Weak identity governance and limited access policy enforcement
- No MFA or Conditional Access protections
- Increased risk of credential compromise and lateral movement
Solution Approach
- Designed Zero Trust identity architecture using Microsoft Entra ID, Conditional Access, MFA, and Identity Protection
- Implemented CyberArk PAM with Just-in-Time (JIT) privileged access and session governance
- Enforced least privilege and segmented workforce, privileged, service, and external identities
Technologies
Microsoft Entra ID, Conditional Access, MFA, Identity Protection, CyberArk PAM, Just-in-Time (JIT) Access, Zero Trust
Security & Governance Alignment
Zero Trust Principles, CIS Controls, NIST CSF, Microsoft Zero Trust Guidance, UK GDPR
Engagement Type
Security Architecture Review, Zero Trust Modernisation
Business Impact
- Reduced privileged access exposure across the estate
- Improved audit visibility and privileged access governance
- Reduced lateral movement and identity attack risk
- Established Zero Trust-aligned identity foundations
Outcome
Delivered a secure, scalable identity architecture enabling controlled cloud and AI adoption.
Client Feedback
“Peter was engaged during a high-risk transition between technology providers and quickly stabilised a complex, business-critical environment. He implemented core infrastructure and integration under pressure, ensuring continuity while bringing control and structure to delivery.”
— Chief Executive, UK Organisation
Azure Security & Governance Modernisation
Industry
Enterprise Azure Platform / Regulated Environment
Challenge
Rapid Azure growth leading to:
- Inconsistent identity and access governance across subscriptions
- Weak enforcement of platform security standards
- Limited visibility into security posture and compliance
- Increased operational and configuration drift risk
Solution Approach
- Designed and implemented security-first Azure Landing Zones with identity-led access governance
- Applied policy-driven governance using RBAC, PIM, Azure Policy, and Defender for Cloud
- Secured platform networking and established workload onboarding and governance standards
Technologies
Azure Management Groups, Azure Policy, Defender for Cloud, Microsoft Entra ID, RBAC, PIM, Private Endpoints, Microsoft Purview
Security & Governance Alignment
Zero Trust Architecture, Least Privilege Principles, NIST CSF, ISO 27001, Azure Landing Zone Governance
Engagement Type
Azure Governance Assessment, Cloud Security Architecture Review
Business Impact
- Improved cloud governance and operational security visibility
- Reduced misconfiguration and policy compliance risk
- Enabled audit-ready Azure environments aligned to enterprise standards
- Established scalable cloud governance foundations for secure growth
Outcome
Delivered secure, policy-enforced Azure governance with improved operational control and reduced platform risk.
Secure AI Adoption & Governance
Industry
Enterprise AI / Microsoft AI Adoption
Challenge
Enterprise AI adoption blocked by:
- Data exposure and uncontrolled model access concerns
- Lack of AI governance and accountability controls
- Unclear AI usage boundaries and access policies
- Regulatory and compliance risks around AI adoption
Solution Approach
- Defined AI security architecture covering identity, data, and model access governance
- Implemented secure Azure OpenAI integration with Entra ID authentication and Purview controls
- Established AI governance framework and secure RAG patterns for controlled enterprise data access
Technologies
Azure OpenAI, Microsoft Copilot, Microsoft Entra ID, Microsoft Purview, Sensitivity Labels, Conditional Access Policies, RAG Architecture
Security & Governance Alignment
OWASP Top 10 for Large Language Model Applications , NIST AI RMF, ISO/IEC 42001, UK GDPR
Engagement Type
AI Governance Advisory, AI Security Architecture Review
Business Impact
- Enabled secure AI adoption without compromising governance or compliance
- Reduced AI data leakage and uncontrolled access risks
- Improved visibility and governance across AI usage
- Established repeatable AI governance and secure deployment standards
Outcome
Delivered secure, governed AI adoption with improved compliance readiness and controlled enterprise AI access.
Identity Security & Zero Trust Case Studies
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