Systems | Development | Analytics | API | Testing

When we think of a typical API, part of a production-ready setup generally includes a cache. This cache allows for similar requests to be served without having to do the entire roundtrip. But when it comes to AI applications powered by large language models, traditional caching falls short. This is because queries to an AI endpoint may look different in terms of how things are worded or phrased but actually mean the same thing semantically.

Advances in large language models (LLMs) and their widespread accessibility have transformed both what software can do and how we build it. The use of LLMs has quickly evolved from simple single-turn interactions to AI agents that reason, use tools, manage state, and operate autonomously.

Advances in large language models (LLMs) and their widespread accessibility have transformed both what software can do and how we build it. The use of LLMs has quickly evolved from simple single-turn interactions to AI agents that reason, use tools, manage state, and operate autonomously.

In the rapidly shifting landscape of identity security, consistency is the ultimate measure of excellence. Today, we are proud to announce that for the fourth consecutive report, WSO2 has been recognized as an Overall Leader in the January 2026 KuppingerCole Leadership Compass for CIAM Platforms. Earning a leadership spot for many years is a significant achievement, but this 2026 recognition is particularly special.

When we started WSO2 in 2005, there was no question what programming language was right for developing server-side enterprise infrastructure: Java. However, as we go past our 20th year and look ahead at the next 10 to 20 years, it’s clear that we need to reflect on the way forward.

In a high-interest-rate environment, the most expensive asset a bank can hold is a signed partner contract that isn’t generating transaction revenue. For many regional banks, the 4–6 month gap between “contract signed” and “first transaction” is driven by manual compliance reviews, fragmented security processes, and custom integration work that delays go-live. We call this the “Integration Tax.”

With CMS-0057-F enforcement approaching in 2027, payer leaders face a decision that goes beyond compliance: how execution will be owned, scaled, and defended across the enterprise.

The recently released OWASP, “A Practical Guide for Securely Using Third-Party MCP Servers,” highlights a fundamental challenge in modern AI deployments: how do we govern, secure, and audit systems that are inherently non-deterministic? Unlike traditional, static software, AI agents dynamically adapt their execution paths, tool selection, and decisions based on context and real-time resources, allowing the same agent to achieve identical goals through entirely different approaches.

The rise of the Agentic Enterprise has seen a significant shift in the role of integration within organizations. Unlike traditional integration, which primarily connected applications and data, integration in the agentic era demands seamlessly connecting applications and data with complex agentic systems in order to build intelligent systems and flows.

Upgrading your WSO2 product to the latest version is an important step for maintaining a secure, stable, and future-ready platform. There are several reasons why an upgrade may be necessary, including but not limited to the following. One of the most common reasons is the end of life (EOL) of the current product version. When a version reaches EOL, it no longer receives official support, including security patches, bug fixes, or technical assistance from WSO2.