Systems | Development | Analytics | API | Testing

What Is a Context Graph and Why Does AI Need One?

May 21, 2026 By Kong In Kong
The context graph — not the UI layer or system of record — is the true competitive IP of the AI era, and Kong built Context Mesh to help companies govern it. Without the right context layer, AI agents are generic and interchangeable regardless of which LLM is underneath. Companies that own and protect their context graph can differentiate their agentic workflows; those that don't are left with legacy CRUD backends that don't translate to agentic use cases. Context Mesh gives enterprises policy and governance over what agents can consume — the rulebook for all context flowing in and out.#Shorts.
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zymr

AI-Powered Personalization in Retail Banking: How Banks Can Deliver Hyper-Personalized Experiences at Scale

May 20, 2026 By Jay Kumbhani In Zymr
Retail banking is quietly undergoing one of its biggest shifts in decades. Customers no longer compare banks to other banks. They compare them to Netflix, Amazon, and every digital experience that already gets them. That expectation has changed the game. This is where AI-powered personalization in retail banking comes in. Instead of offering generic products to broad customer segments, banks can now deliver hyper-relevant experiences in real time.
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cloudera

From Analytics Platform to an AI Operating System: Data Lakehouse in the Agentic AI Era

May 20, 2026 By Navita Sood In Cloudera
The lakehouse architecture was developed with the mission to combine the unstructured scale of the data lake with the structured performance of the data warehouse. This shift unified enterprise data and delivered the first true "single source of truth". But in 2026, the mission has expanded.
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perforce

Why Static Analysis Is Still Essential in the Age of Claude AI Cybersecurity Scanning

May 20, 2026 By Perforce In Perforce
It’s hard to keep up with how fast artificial intelligence is transforming organizations’ approach software security. Models like Claude Mythos Preview bring impressive new capabilities to the market, offering dynamic threat detection and adaptive learning. These advancements lead many engineering leaders to ask a critical question: Do we still need static analysis? The short answer is a definitive yes.
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ClearML

Enterprise AI Security with ClearML: A Complete Series Summary

May 20, 2026 By Adam Wolf & Damian Erangey In ClearML
Over a seven-part series of posts and videos, ClearML’s Enterprise AI Security series covered every layer of securing an AI platform in production, from who gets in to what gets recorded. This post brings it all together in one place: what each layer does, why it matters, and how the layers connect.
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bugfender

What is MCP (Model Context Protocol)?

May 20, 2026 By Aleix Ventayol In Bugfender
MCP (Model Context Protocol) is an open standard that lets AI agents connect to external tools and data sources in a consistent, secure way. We can think of the MCP as a USB-C port for AI agents. This open protocol from Anthropic (the guys who built the Claude chatbot) enables AI applications to plug into external tools without any custom glue code.
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