Building Governed Agents: A Framework for Cost, Control and Compliance
As autonomous agents scale in production environments, they introduce significant governance challenges related to cost control, data security, and regulatory compliance. This presentation outlines the necessity of implementing centralized runtime controls—such as an LLM Gateway—across the entire Agent Development Lifecycle (ADLC). Centralized governance is critical for managing unpredictable spend, ensuring reliability through fallbacks and rate limits, and maintaining consistent policy enforcement across diverse agent interactions (LLM calls, tool use, and inter-agent communication).
Key takeaways
-
The Three Pillars of Agent Governance
5:40
Production agents introduce three main pressure points: Cost (unpredictable spend from looping/context growth), Reliability (need for fallbacks and clear failure behavior), and Compliance (consistent policy enforcement required by regulated industries).
-
Centralized Runtime Controls are Essential
8:30
Governance must be implemented as a central infrastructure layer, rather than being bolted on application-by-application. This centralized approach manages interactions with external services (LLMs, tools) and ensures visibility across the entire system.
-
Comprehensive Risk Management is Required
12:30
Governance controls must cover four distinct interaction points: LLM calls (cost/data risk), Tool calls (unintended actions/permissioning), MCP calls (data leaving infrastructure), and Agent-to-Agent calls (identity and compounding errors).
-
Compliance Requires Multi-Layered Guardrails
23:20
For regulated industries, governance must address specific regulations like GDPR, CCPA, HIPAA, and the EU AI Act. This involves implementing guardrails for PII/secrets detection, role definition, and audit logging.