Security
Security controls designed for production AI systems
LindenTech applies layered protections across authentication, data handling, integrations, and runtime operations.
Credential protection
Sensitive integration data is encrypted at rest with robust key handling and strict access paths.
- AES-256-GCM token encryption
- Restricted access patterns for secrets
- Environment validation for critical settings
Request integrity
Inbound traffic is validated and constrained to reduce replay, abuse, and malformed payload risks.
- Webhook signature verification
- Rate limiting and idempotency checks
- Schema validation at API boundaries
Tenant isolation
Organization data remains scoped and separated to protect customer boundaries.
- Org-based authorization gates
- Scoped resource ownership
- Role-aware permissions
Operational hardening
Core flows are designed for safe retries and defensive behavior under partial failure.
- Event-step retries for background jobs
- Defensive logging and monitoring
- Controlled fallback behavior
Need a tailored setup for your workflows?
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