As
organizations integrate external AI providers into production applications,
platform teams need consistent ways to secure, govern,
and observe model interactions across providers. Without centralized
controls and telemetry, managing compliance, troubleshooting issues, and
monitoring usage becomes increasingly difficult.
With
this update, Azure API Management extends AI gateway capabilities to
Anthropic and Google Vertex AI models, enabling organizations to apply runtime
policies, security controls, and observability across external model
endpoints.
This
allows teams to:
- Apply runtime governance and
security policies, such as content safety, token limits, or semantic
caching, for Anthropic and Vertex AI models
- Collect logs, traces, and
metrics for Anthropic and Vertex AI model traffic
By
extending policy enforcement and observability to Anthropic and Vertex
AI models, Azure API Management helps
organizations operate multi-model AI environments with stronger
consistency, security, and enterprise control.
Learn
more.