Success Story

Cyber Maturity Uplift for an AI-Powered eCommerce Platform

Industry: eCommerce & AI Technology

Services: Ongoing Cyber Governance & Risk Oversight | Identity, Data & AI Risk Controls

Duration: 4 months


The situation

This company provides AI-driven content solutions to some of the UK's largest retailers. Their platform runs on AWS and processes significant volumes of sensitive commercial data. As they won larger enterprise contracts, clients began asking harder questions about security posture, compliance evidence, and cloud controls.

The company had invested in security tooling, but lacked a coherent strategy tying it together. Their SOC was generating alerts without clear prioritisation, compliance gaps existed against frameworks their retail clients expected, and there was no structured approach to managing the security of their AI workloads. They needed to mature quickly without inflating headcount or spend.

What we did

We worked directly with the leadership team to build a security programme that matched the ambition of the business.

Defined cyber strategy and direction. We developed a forward-looking cybersecurity strategy aligned to business objectives, mapping out priorities across cloud security, identity management, data protection, and AI-specific risks. This gave the leadership team a clear view of where they stood, where they needed to be, and what to invest in first.

Closed compliance gaps. We conducted a detailed review against the regulatory and contractual requirements imposed by their enterprise retail clients. Where gaps existed, we built a prioritised remediation roadmap and helped the team execute against it, turning compliance from a blocker into an enabler of new business.

Implemented Zero Trust on AWS. Using AWS-native security services, we deployed a Zero Trust model across the platform. Access to sensitive resources now requires continuous verification based on identity, device posture, and context. This significantly reduced the blast radius of any potential compromise and gave the team granular visibility into who was accessing what.

Transformed security operations. We restructured their SOC to focus on what mattered. Automated monitoring replaced manual triage for routine alerts, detection rules were tuned to the actual threat profile of the platform, and spend on security monitoring was reduced by consolidating redundant tooling.

The results

  • Full regulatory and client compliance achieved, unlocking new enterprise contracts
  • 30% reduction in security monitoring spend through tooling consolidation and automation
  • Zero Trust model deployed across all AWS workloads with identity-based access controls
  • Cyber maturity score improved by two levels against the client's internal assessment framework

The company now approaches security conversations with enterprise clients from a position of strength. Their security programme is structured, evidenced, and aligned to the pace at which the business is growing.