The security practices, compliance models, and privacy controls described on this page represent our architectural design goals as ForgeFlow AI builds toward enterprise production readiness.
Security Architecture by Design.
ForgeFlow AI is being engineered around logical isolation namespaces, secure deployment presets, rate limiting, and private model data containment guidelines.
Designed for SOC 2 Alignment
Our target architecture maps logical access controls, security verification logs, and database boundary limits for future SOC 2 Type II audit readiness.
HIPAA Alignment Guidelines
Architecture is designed around data encryption protocols, isolated namespace models, and compliance audit trail configurations.
GDPR & Privacy Architecture
Designed for local data residency routing, privacy controls, and data protection alignment.
Frequently Asked Security Questions
Is my code used to train LLM models?
In our production target architecture, user code inputs and prompt layouts will remain private to your workspace account. Prompts are processed within isolated workspace sessions and are not stored or shared.
What is the hosting architecture?
Our target cloud architecture is designed for deployment across isolated AWS and Vercel serverless configurations with secure namespace boundaries.