Platform Architecture
Secure AI Architecture
Modern AI systems require security architecture that protects enterprise data while enabling safe interaction with models, knowledge systems, and external services.
Reference Architecture
Identity & Access Control
Secure AI Interface
Model Inference Layer
AI Governance • Monitoring • Security Controls
Knowledge & Retrieval Systems
Enterprise Data Sources
Architecture Principles
Identity-driven access control governs all interaction between users, services, and AI systems.
Enterprise data remains isolated from model execution environments through controlled retrieval and integration layers.
Secure system boundaries ensure that AI platforms operate within well-defined architectural trust zones.
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