Deployment boundaries
Where application services, integrations and customer data operate.
Security controls for accountable AI workflows.
Discuss the security, data handling and oversight requirements of your CloudSeals deployment with our team.
Control areas
Identity and access
User roles, reviewer responsibilities and administrative permissions.
Data protection
Encryption and key-management requirements for the proposed deployment.
Retention
Retention and deletion requirements for workflow evidence, logs and customer data.
Operational oversight
Logging, monitoring and incident-response requirements for the deployment.
How we think about security
CloudSeals sits in workflows where a wrong answer has consequences, so the security posture is described in terms of boundaries and oversight rather than adjectives. What follows is how the control areas are organised; specifics for a given deployment are covered in a security review with our team.
Questions we get asked
Where does CloudSeals run?
Deployment boundaries are agreed per engagement. The right answer depends on your data residency and hosting requirements, so it is settled in a security review rather than assumed here.
Who can see our data?
Access is controlled through identity and access management, and use is recorded. The specific model for your deployment is confirmed during the security review.
How long is data kept?
Retention is a configured decision, not a fixed default, because reporting and audit obligations differ by organisation and jurisdiction.
Can we run a security review before committing?
Yes — that is the expected path for regulated buyers. Ask for a security review when you book a walkthrough and we will bring the relevant detail.
What evidence is kept about AI-assisted decisions?
Evidence Fabric records source context, model/agent details, purpose, policy/authority context, outcomes, approvals/overrides, downstream actions and final results.