Enterprise Security: SOC 2, RBAC, Audit Logs, and Data Isolation
AI-powered content platforms handle sensitive data — brand assets, customer information, competitive intelligence, unpublished content. Enterprise teams need security that matches the sensitivity of what they're processing. Here's how DesignTech AI is built for that requirement.
SOC 2 Aligned Infrastructure
DesignTech AI's infrastructure is aligned with SOC 2 standards. All data is encrypted at rest and in transit. Credential management follows security best practices with secret segregation and rotation policies.
Multi-Tenant Data Isolation
Every organization on the platform operates in a fully isolated environment. Data, configurations, Brand Kits, and generated assets are segregated per organization. There is no cross-tenant data leakage — by architecture, not just by policy.
Role-Based Access Control (RBAC)
RBAC lets administrators define exactly who can do what within their organization:
- Admins — Full platform configuration, user management, Brand Kit editing, API key management
- Operators — Create and execute Playbooks, manage campaigns, review outputs
- Contributors — Submit content, view outputs, provide feedback
- Viewers — Read-only access to assets and analytics
Full Audit Logging
Every action on the platform is logged — who initiated it, what changed, when it happened, and what AI models were involved. Audit logs provide the compliance trail enterprises need for regulated industries and internal governance.
Cost Tracking & Compliance Controls
Every AI execution carries a cost, and DesignTech AI tracks it per-asset with full transparency. Credit-based budgeting means teams can set spend limits, track cost-per-output, and ensure AI usage stays within approved budgets — with automated alerts when thresholds approach.
Security isn't a feature. It's the foundation. Every capability on the platform is built on top of these enterprise-grade primitives.