Podcast recap: Observability won’t save your agents

Marek Poliks of LaunchDarkly argues that while AI gateways are important centralized access-control points, especially for mature enterprises, they can create latency, external dependencies, single points of failure, and privacy risks because they may process sensitive prompts and model responses. He contends that gateways have limited visibility into an agent’s full runtime harness, including its available tools and skills, which restricts their ability to enforce meaningful governance beyond basic model access and failover policies. Poliks favors application-level runtime controls that can apply guardrails and online evaluations near the agent itself without transmitting customer context or adding mid-execution vendor API calls. He also maintains that observability, logs, and traces remain valuable but are inherently retrospective, making active intervention and prevention during execution essential as agents gain access to more consequential systems and information.

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