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AI coding tool spend is projected to top $13 billion in 2026, compounding at more than 60% a year. That's an entire category showing up at once, according to the recent Palo Alto Networks' Secure AI Coding report. These agents don't just autocomplete a line of code anymore. They plan. They act.…
Agentic AI governance is the structured management of the authority an organization hands to autonomous AI systems that plan and take action on its behalf. It covers what an AI agent is allowed to do, which systems it can touch, and how those permissions are monitored, limited, and revoked using…
In April 2026, Uber burned through its entire year’s AI budget by the middle of the month, driven largely by usage of Anthropic's Claude Code and Cursor. Nothing was broken. No one misused the tool. Engineers were doing exactly what every team's been told to do: adopt AI, use it well, use it…
Enterprise AI governance requires a composed stack connecting high-level risk and compliance oversight with real-time runtime enforcement. While oversight tools manage inventories, approvals, and evidence, AI gateways apply policy controls directly to live model, API, MCP, and agent traffic.…
You've probably seen the demos. An AI model kicks off a task, hands pieces of it to other AI models, and somehow the whole thing gets done. Emails drafted, code reviewed, reports summarized — all without a human in the loop. While a single agent doing one thing is impressive, the true paradigm…
A decade ago, cloud and API sprawl got ahead of governance, and enterprises spent years trying to account for costs they'd never tracked. Today, we're seeing the same pattern around AI, with hundreds of customers proxying traffic via Kong AI Gateway, which includes LLM, MCP, and agent connectivity.…
You've diagnosed the problem. Your agentic AI initiatives are stalling — not because the models are wrong, but because the integration layer underneath them wasn't built for this. Batch data, rigid schemas, fragmented governance, no real-time event delivery. The plumbing is the bottleneck . Now the…
If you've been around long enough to remember when iPaaS was the answer to everything, you know the pattern. New paradigms arrive. Someone realizes that wiring it into existing infrastructure is harder than the demos suggested. An integration layer gets built. That layer slowly becomes…
You swapped in a better model. You fine-tuned it. You threw more tokens at the problem. And still — your agents hallucinate, break under load, and deliver answers that were accurate about three hours ago. The model isn't the problem. Gartner recently flagged that up to 40% of enterprise agentic AI…
Recent research from Forrester’s David Mooter makes a few things very clear: the enterprises that win with agentic AI won't be the ones with the most agents — they'll be the ones with the best integration infrastructure behind them. If you've been following the agentic AI wave, you've probably…
Production AI no longer generates one kind of traffic. It generates four patterns, and most teams govern only one. AI traffic management starts with a single decision: proxy AI traffic through one control point instead of letting it flow straight from application code to model providers. Skip that…
We're thrilled to announce a strategic technology partnership between Kong and ModelOp . As enterprises rapidly transition into the agentic era, they face a critical challenge: how to deploy AI fast enough to stay competitive without taking on unacceptable regulatory or security risks. Together,…
Gartner recently published its inaugural Magic Quadrant for AI Governance Platforms (AIGP) — a signal that the AI governance category has graduated from analyst speculation to something enterprises are actively buying. Thirteen vendors were formally evaluated. The market is projected to grow from…
Shadow AI detection is the practice of finding and governing unsanctioned AI tools, models, and API integrations that employees deploy without security approval. It has become urgent because these tools route live enterprise data to external models in real time, and traditional security stacks…
In late June 2026, two of the most widely used AI agent platforms were compromised within the same week. Langflow disclosed a critical unauthenticated remote code execution flaw. Dify, powering over one million applications, revealed four vulnerabilities that exposed private conversations and…
LLM provider switching went from a theoretical concern to an operational emergency in June 2026, when Anthropic disabled Claude Fable 5 and Mythos 5 following a US government directive [3][6]. The shutdown was swift, with access suspended just days after the models launched. Enterprises that had…