SaaS and IT

PRACTICAL GUIDANCE

The starting point

Trace assurance from the product promise through development, operation and incident response. Establish the service boundary, cloud responsibilities and evidence behind controls, then consider privacy or AI governance where the activities justify it.

Priorities to examine

• Enterprise customers ask for assurance about the specific product, service or hosting arrangement they use.
• Rapid releases and changing infrastructure can outpace risk decisions and documentation.
• Customer data, support access and subprocessor relationships need clear accountability.
• AI features or internal AI use introduce decisions about purpose, oversight, testing and suppliers.

Standards to investigate

Evidence to consider

• Architecture and data-flow diagrams with service and cloud responsibility boundaries.
• Risk assessments, treatment decisions and the Statement of Applicability where relevant.
• Access reviews, change approvals, deployment records and exception handling.
• Incident exercises, recovery tests and monitoring that support stated service objectives.
• Supplier and subprocessor reviews with relevant contractual evidence.
• AI use-case records, evaluations and human oversight arrangements when AI is in scope.

Questions for your scope

• Which product, development teams, support activities and environments are included?
• Which controls belong to your organisation and which depend on the cloud provider?
• Can a sample change be traced from request to testing, approval, release and monitoring?
• What personal information is used in development, support and analytics?
• Does the buyer want ISO 27001, Cyber Essentials, a SOC 2 report or a combination, and why?

Related guidance and practical next steps