Protected portfolio records
Controls include encryption at rest, TLS in transit, tenant-aware access policies, data-retention settings, and consent-based ingestion.
Trust Posture
Portfolio data is sensitive. Stat Edge Capital is designing the platform around data minimization, encryption, permission boundaries, model evaluation, and documented human review.
Controls include encryption at rest, TLS in transit, tenant-aware access policies, data-retention settings, and consent-based ingestion.
AI responses are designed to include source references, scenario assumptions, confidence notes, reviewer identity, and timestamps.
Production processes include environment separation, deployment logs, monitoring alerts, vulnerability scanning, and incident playbooks.
Control Matrix
| Control area | Implementation approach |
|---|---|
| Identity and access | Role-based access, least privilege, MFA, tenant-scoped workspace permissions. |
| Encryption | Managed encryption keys, encrypted databases, encrypted object storage, TLS-only access. |
| Model governance | Prompt versioning, evaluation datasets, output review logs, restricted financial claims. |
| Data lifecycle | Retention rules, deletion workflows, import consent, no training on customer data by default. |
| Monitoring | Observability dashboards, audit logs, error budgets, alert routing, uptime checks. |
| Financial compliance | Analytics-only positioning, user review requirements, disclaimers, export audit history. |
AI Boundaries
Stat Edge Capital is not building a black-box trading signal. The product treats AI as an explanation, prioritization, and research assistant around portfolio data. Decisions remain with the user.