SECURITY & DATA HANDLING

Your context deserves
a clear conversation.

Understand the access, data sources, and deployment requirements for your CloudGo engagement before connecting sensitive information.

Discuss your requirements

Read-only assessment.

Cloud audits are designed to use read-only access. Your team retains control over production changes and reviews the recommendations before implementation.

A defined data scope.

Agree which environments, documents, and source context the workflow needs. Start with a focused use case and review your data handling requirements during scoping.

Evidence for human review.

Connect recommendations to the underlying source context. Give your team a way to review assumptions and constraints before deciding how to act.

Deployment by agreement.

For API integrations and enterprise requirements, discuss access controls, isolation, and deployment options in the technical evaluation. Availability is confirmed for the engagement.

BRING YOUR REQUIREMENTS

Make the details explicit.

What should we cover in a security discussion?

Data sources and classification, cloud permissions, model and subprocessors, data location, retention and deletion, access controls, and deployment requirements. We can work through the questions relevant to your proposed workflow.

Can we begin without connecting production?

The initial conversation can use your workflow description, synthetic examples, or materials approved for that discussion. We agree the data and access needed for the next step.

Where can I get the current security details?

Contact staff@cloudgo.ai for current documentation and answers about your intended use. Specific controls, contractual commitments, and deployment capabilities are confirmed during scoping.

ONE WORKFLOW. A MEASURABLE START.

Start with your requirements.
Build from a clear scope.

Bring your technical and data handling questions into the first conversation.

Plan your evaluation
CONTEXT CHANGES EVERYTHING.