Systems | Development | Analytics | API | Testing

Consistently Hallucination-Proof Your LLMs with Automated RAG

AI is quickly transforming the way businesses operate, turning what was once futuristic into everyday reality. However, we're still in the early innings of AI, and there are still several key limitations with AI that organizations should remain aware of to ensure that AI is being leveraged in a safe and productive way.

PII Sanitization Needed for LLMs and Agentic AI is Now Easier to Build

The excitement around large language models (LLMs) and agentic AI is justified. These systems can summarize, generate, reason, and even take actions across APIs — all with minimal human input. However, as enterprises race to integrate LLMs into real-world workflows — especially when those enterprises operate in regulated environments and/or deal in sensitive data — one fundamental question looms large.

Ep 5 - The Secret to Data Streaming Success: Speaking the Same Language

Want your real-time data streaming initiative to stick? Success hinges on more than pipelines—it’s about people, governance, and business impacts. Jeffrey Johnathon Jennings (J3), managing principal at signalRoom, shares how to bring it all together. In this episode, J3 shares how he’s used impactful proofs of concepts to demonstrate value early, then scaled effectively through shift left with governance and stronger cross-team collaboration.

Introducing Kong's New MCP Server to Access Your API System of Record

MCP is a new way to integrate LLMs and AI agents with third-party data sources and APIs. It significantly improves how we build tool integrations by eliminating duplicated code and providing a centralized interface for multiple agents to access shared tools. Today, we’re excited to announce the release of Kong’s MCP Server for the Kong Konnect platform. This empowers customers to integrate AI agents and query LLMs to discover APIs, services, and traffic analytics in real time.