A technical deployment pattern for intercepting, inspecting, and redacting sensitive data in copilot workflows before model submission. Aligned to OWASP Top 10 for Agentic Applications.
An AI proxy acts as a centralized operational chokepoint between your internal corporate network and external LLM vendors. Instead of allowing direct connections, all traffic is routed through a secured infrastructure layer.
The proxy identifies the requesting user and attaches organizational context, preventing anonymous model usage.
Inline DLP policies replace PII and sensitive payment artifacts with generic tokens before the model sees them.
Requests are sent to the most appropriate, approved vendor endpoint based on cost, latency and trust settings.
Modern proxies must evolve to address the OWASP Top 10 for Agentic Applications.
Act as a reverse proxy for internal tools, ensuring agents don't execute unauthorized API calls during goal hijacking events.
Read ASI01 AnalysisManage the "Sensitivity Data Leak" (ASI06) by regulating what context buffers are allowed to persist across session boundaries.
Read ASI06 AnalysisTurn unpredictable generative systems back into deterministic, auditable software processes with decision-level telemetry.
Evidence Guide