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Unlocking Innovation with the API Economy

Unlocking Innovation with the API Economy

Mar 17, 2026 By Tishan Dahanayakage, Head of Engineering, Choreo In WSO2
As the technology stacks utilised by modern businesses grow increasingly complex, so does the number of integrated applications that are required to work together. The key enablers of this collaboration are Application Programming Interfaces (APIs), which act as the "glue" between applications, machines and databases, and let the different elements of an organisation's system work together as one cohesive whole.
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The Role of Integration in the Agentic Enterprise

Mar 17, 2026 By WSO2 In WSO2
In this episode of, *Steve Jordan* and *Shafreen Anfar* from WSO2 explore how integration is paving the way for the agentic enterprise, where humans and AI agents collaborate to drive business success. They discuss how seamless connectivity across systems provides agents with the real-time context and ability to take action that is necessary to scale AI from simple pilots to full-scale production. The conversation also highlights the importance of robust security, governance, and observability in managing this new digital workforce.
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dreamfactory

What is an AI Data Gateway? | DreamFactory

Mar 17, 2026 By Cody Lord In DreamFactory
An AI Data Gateway is a secure intermediary that connects enterprise data sources (like databases and file systems) with AI systems. It simplifies how AI accesses data while enforcing strict security, compliance, and governance measures. Instead of allowing direct access to sensitive data, the gateway uses secure REST APIs to control and monitor all interactions.
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dreamfactory

Zero-ETL Database APIs: Live Data Without Data Movement | DreamFactory

Mar 16, 2026 By Kevin Hood In DreamFactory
Zero-ETL Database APIs let you access live data instantly without needing traditional ETL processes. Instead of extracting, transforming, and loading data, these APIs query databases directly in real-time, significantly reducing delays that can span hours. Key features include federated querying (accessing multiple data sources simultaneously) and schema-on-read (applying schemas dynamically during queries).
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speedscale

Prompt, Deploy, Pray Is Dead: Validating AI Code with Proxymock

Mar 13, 2026 By Alan Mon In Speedscale
Recent outages tied to AI-assisted code changes have pushed companies into a corner. After several incidents with massive “blast radius” impacts, organizations like Amazon introduced stricter controls—mandating that senior engineers manually review all AI-generated code before it hits production. That response makes sense on paper, but it exposes a fatal flaw in the modern development pipeline.
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dreamfactory

DreamFactory 7.4.4 Release: AI-Optimized Data Models, Custom MCP Tools, and Granular Access Controls

Mar 13, 2026 By Kevin McGahey In DreamFactory
DreamFactory 7.4.4 is a significant release for teams connecting AI agents to enterprise databases through the Model Context Protocol (MCP). The new _spec endpoint gives LLMs a complete understanding of any database schema in a single API call. Custom MCP tool definitions let admins extend their MCP server beyond built-in database operations. And new per-tool toggle controls with role-based service discovery bring the governance enterprises need before deploying AI-database integrations to production.
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kong

Configuring Kong Dedicated Cloud Gateways with Managed Redis in a Multi-Cloud Environment

Mar 12, 2026 By Hugo Guerrero In Kong
A persistent challenge arises as businesses adopt multicloud architectures and agentic AI: the need for state synchronization. API and AI gateways require a robust persistence layer to synchronize data, whether it's for governing AI token usage, facilitating agent-to-agent communication, or boosting performance through caching.
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kong

Leveraging the MCP Registry in Kong Konnect for Dynamic Tool Discovery

Mar 12, 2026 By Hugo Guerrero In Kong
As enterprises start deploying AI agents into real systems, a new architectural challenge is emerging. Agents need a reliable way to discover tools, services, and capabilities dynamically, instead of relying on hardcoded integrations. This is where the Model Context Protocol (MCP) ecosystem is rapidly evolving. MCP servers expose tools and capabilities that AI agents can use. However, once organizations begin deploying multiple MCP servers across environments, the question becomes clear.
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keploy

Software Testing Life Cycle A Complete Guide For Modern Qa Teams

Mar 12, 2026 By Keploy In Keploy
Modern software teams ship faster than ever. Releases are frequent, systems are increasingly distributed, and testing environments can be unstable. At the same time, maintaining large sets of manual and automated tests becomes difficult as applications grow. Without a structured approach, testing quickly becomes reactive instead of strategic. This is where the Software Testing Life Cycle (STLC) plays a critical role.
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