Systems | Development | Analytics | API | Testing

Object recognition is the capability of test automation tools to identify, locate, and interact with user interface elements within an application under test. It serves as the bridge between automated test scripts and the visual elements that end users see, enabling tests to accurately simulate user actions and validate application behavior.

The rapid proliferation of Artificial Intelligence (AI) agents and Large Language Models (LLMs) is transforming how businesses operate. From automating customer service to generating complex reports, AI agents are becoming indispensable. However, this explosion of AI-driven interactions brings with it significant challenges in management, security, and governance.

Enterprise adoption of large language models introduces a fundamental security challenge: how do you grant AI agents access to internal data without creating a backdoor that bypasses your existing access controls? Traditional database connections rely on service accounts with broad permissions, but when an LLM queries your customer records or financial data on behalf of a user, it must respect that user's specific entitlements.

Bringing APIs and events together has always been a challenge. REST APIs give developers a familiar interface, while event brokers like Solace Broker excel at fan-out, filtering, and scalable, reliable event delivery. The tricky part? Bridging these two worlds without building a lot of custom glue. That’s exactly what the new Kong plugin for Solace upstream mediation does.

Government and defense agencies require extreme security measures to protect sensitive data like classified intelligence and military operations. Air-gapped systems, which are physically isolated from external networks, provide a robust solution by ensuring no remote access is possible. These systems are critical for deploying large language models (LLMs) safely in secure environments, enabling advanced AI capabilities like intelligence analysis and mission planning without risking data breaches.

“API strategy” is a term prominently established in the ecosystem and heavily discussed, implemented, and followed by organizations. The term is more relevant now since API strategy has become, for the most part, AI strategy, since AI agents and services are now consuming APIs and tools to work towards business-specific goals under human tutelage. So the longstanding definition and scope of API strategy must take into account AI consumers.

The WSO2 API Platform offers an MCP Gateway that sits between MCP clients and the MCP servers they use, applying security, access control, rate limits, observation, and policy enforcement across all tool calls. Instead of requiring teams to write these controls directly within their MCP servers, the platform extends its existing API governance layer to cover MCP traffic.