Systems Architecture

Properly architected systems are more reliable, scalable, and easier to automate. The relationships between various components within the system should be defined in advance to provide optimal performance and security.

Securing AI systems extends beyond model alignment and prompt filtering. Architectures need scoped service accounts, least-privilege IAM, secret rotation, and isolated execution contexts. Telemetry captures prompt, retrieval context, tool calls, and output, with immutable audit logs tied to user and session identity. Data flows require classification, redaction, and access policies across vector stores, retrieval indices, and downstream systems. Threat models cover prompt injection, exfiltration via tool use, and over-permissive integrations.