A New Dawn: Enterprise AI's Shadow — Trillions of Tokens, Zero Governance

Kong reports that enterprise AI traffic through its AI Gateway has increased sevenfold in nine months, with organizations using AI growing nearly 30-fold year over year and increasingly deploying production workloads across multiple models and providers. Its July 2026 data shows Anthropic Claude and OpenAI GPT accounting for most attributed request volume, though provider rankings differ by requests, input tokens, and output tokens, reflecting varied uses of Azure, Bedrock, direct APIs, and model-specific strengths across industries. Most organizations use multiple models, with 62% running at least two and 20% running six or more, which Kong argues complicates cost tracking, monitoring, security, and policy enforcement. Despite this growth, the company says fewer than 1% of customers have AI-specific governance controls, while most requests go to third-party proprietary APIs that may handle sensitive prompts and context. The text compares the situation to early cloud adoption, advocates for AI gateways as traffic-layer control points for visibility and governance, and warns that rapidly growing agent-driven API activity could further increase the need for scoped authorization, observability, token budgeting, routing, and security controls.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.