AI Agents Are Not APIs. Existing Gateways Can't Tell the Difference.

AI agents aren’t just another API; they fundamentally change how applications communicate, scale, and behave. Traditional gateways were built for predictable, stateless request-response traffic. Agentic workloads are the opposite: stateful, dynamic, and non-deterministic.

This whitepaper breaks down why existing API infrastructure fails in the agentic era and what enterprises must do instead.

Inside, you’ll learn:

• The seven core assumptions API gateways make and how agents break every one
• Why emerging protocols like MCP (Model Context Protocol) and A2A (Agent-to-Agent) require a new connectivity layer
• The four critical traffic patterns introduced by agentic systems
• The five pillars of production-ready agent infrastructure: security, observability, performance, cost control, and open standards
• How to avoid the “agent sprawl → breach → governance crisis” lifecycle most organizations hit within 18 months

If you're building or scaling AI agents, this paper lays out what your infrastructure actually needs to support them - before complexity catches up.