ScopeTraceAI is designed with security, isolation, and auditability as first-class concerns.
Customer data is processed solely to deliver the ScopeTraceAI service
Customer data is not used to train AI models or shared with anyone
Data is not shared with third parties beyond required infrastructure providers
Data retention follows customer and operational requirements
Tenant-isolated processing
Logical separation between customer environments
Role-based access controls
Least-privilege access principles
Deterministic output generation for repeatable results
Identical inputs produce consistent outputs
Full run metadata captured (timestamps, IDs, configuration)
Traceability preserved across requirements and test artifacts
Encrypted data in transit (TLS)
Encrypted data at rest
Secure cloud infrastructure
Regular dependency and vulnerability scanning
Designed to support ISO 27001–aligned workflows
Designed to support SOC 2–aligned workflows
Provides audit trails, traceability, and change control support
No certification claims unless explicitly stated
AI outputs generated with guardrails and interpretation layers
Human review expected prior to production use
ScopeTraceAI does not autonomously execute changes in production systems
Customer data is not used to train AI models or shared with anyone