Case Studies | SaaS B2B

From code to cloud to runtime

AI Security and Compliance Accelerator

About

A SaaS B2B business working with Cloud Combinator on AWS. The client is anonymised at their request.

Challenge

The feasibility study framed the customer problem around four focus areas.

Tool sprawl and alert fatigue

Customers typically run four to seven fragmented security scanners that each generate their own noise, leaving thousands of alerts unactioned and real, exploitable risks buried among false positives. Consolidating detection and triage into one platform is the difference between a security team that remediates and one that only firefights.

Compliance pressure

Approaching SOC 2 and ISO 27001 audits, NIS2 and DORA deadlines, and enterprise security questionnaires increasingly gate deals and fundraising. Assembling audit-ready evidence by hand can take four to six months, which delays revenue and puts certifications on the critical path.

AI-specific security gaps

Teams building with Amazon Bedrock, Amazon SageMaker and custom large language models face risks such as prompt injection, model access exposure, data leakage and insecure API chains that traditional application security tools were never designed to catch.

Developer friction

Security bolted on after the fact slows releases and creates manual review bottlenecks. Without shift-left automation embedded in the IDE, the pull request and the CI/CD pipeline, security becomes a tax on velocity rather than a guardrail.

Solution

Cloud Combinator and the client designed the accelerator as a repeatable eight-week programme, so that each customer engagement follows the same tested path from baseline to executive readout.

50K+

Organisations already on the client's platform

Up to 95%

Targeted reduction in alert noise (projected)

6-8 wks

Targeted SOC 2 / ISO 27001 readiness (projected)

By the numbers:

  • 50K+ - Organisations already on the client's platform
  • Up to 95% - Targeted reduction in alert noise (projected)
  • 6-8 wks - Targeted SOC 2 / ISO 27001 readiness (projected)
Changes

Because this is a feasibility engagement, the outcome is the study's verdict and the target metrics set for the pilot, not delivered production results. The joint study assessed the accelerator across commercial, technical and operational dimensions and recommended proceeding to a three-customer design-partner pilot with high confidence. The figures below are the study's own findings and projected targets and are marked accordingly.

  • Commercial feasibility rated excellent — The study sized an UK and EU addressable market of GBP 200M to GBP 500M and positioned Cloud Combinator to become the second AI security partner in the AWS EMEA region, with support from the AWS EMEA AI Security Specialist team. These are projected market figures.
  • Technical feasibility rated high — The client is a mature, SaaS-deployed platform with onboarding in under 48 hours and no source code leaving the customer environment, complementing AWS-native security with code-level and runtime coverage.
  • Operational feasibility rated strong — Both partners confirmed capacity to run a three-customer pilot in Q2 2026 and to scale to 10 to 15 customers without additional hiring.
  • Targeted programme value — The accelerator aims to consolidate four to seven separate tools into one platform, a projected 50 to 75 per cent saving against fragmented tooling and consulting, alongside faster compliance and reduced vulnerability backlog.
  • Handover — Each engagement is designed to leave the customer with repeatable playbooks, executive scorecards, an audit-ready evidence pack and a route to continuous managed security.

With the feasibility study complete and a recommendation to proceed, Cloud Combinator and the client move next to the design-partner pilot, then to scaled delivery through a BOX-funded go-to-market campaign, with a joint AWS Marketplace listing on the roadmap. The ambition is a repeatable, AWS-native accelerator that lets AI-first companies ship faster while staying continuously compliant.

AWS Stack

Amazon GuardDuty

For continuous threat detection across AWS accounts.

AWS Security Hub

For centralised security posture and findings aggregation.

Amazon Inspector

For automated EC2 and container vulnerability scanning.

AWS IAM

For least-privilege access architecture and review.

Amazon Bedrock

For governing the security of managed foundation-model workloads.

Amazon SageMaker

For securing model build and training environments.

YOU MIGHT LIKE

Related success stories

View all case studies

Case Studies | Insights

Utilising Language Recognition, Speed, and Enhanced Security to Make Social Media a Force for Good

  • Here, we take a detailed look at how the Cloud Combinator team collaborated with another cutting-edge AI service provider that provides intelligent systems to “make social media more social” for brands and users alike.
  • Arwen AI is a UK-based startup specialising in AI solutions to manage and enhance brands’ social media interactions. Founded in 2020 by Matt McGrory, Dr. David Cole, and Joel Bailey, Arwen. AI focuses on using AI to automatically detect and remove spam, toxic comments, and other unwanted content from social media platforms.
  • The team at Arwen have three core products. ‘Moderate’ is focused on identifying and removing toxic content from social media channels. ‘Engage’ helps brands identify and engage with meaningful conversations on social media, and ‘Customize’ allows brands to apply bespoke algorithms to their channels - creating an even more effective moderation and engagement.
Read more
CONTACT US

Ready to turn AI into impact?

We'll help you spot the highest-value opportunities, reduce risk around your first AI initiative, and define a clear path to results from day one.

Why talk to us:

Outcome-driven recommendations

AWS-recognised delivery expertise

Risk-aware AI adoption

Clear next step, not a sales pitch

Start with a focused 20-minute conversation about your goals — no pressure, no commitment.

We use cookies

This website uses cookies to enhance user experience and to analyze performance and traffic on our website.

See our Privacy Policy for details.