Systems | Development | Analytics | API | Testing

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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WSO2 AI Guardrails: PII Masking, Prompt Injection & Safety

Mar 12, 2026 By WSO2 In WSO2
Generative AI offers incredible potential, but it comes with real risks like data leakage and prompt attacks. In this video, we demonstrate how WSO2 AI Guardrails act as an intelligent filter to secure your AI integrations and ensure compliance. We walk through the configuration of four critical advanced guardrails to inspect both incoming requests and outgoing responses, helping you move from risky experiments to safe, reliable production services.
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WSO2

The European Health Data Space (EHDS): From Regulation to Reality

Mar 12, 2026 By sameera gunarathne In WSO2
The European healthcare landscape is undergoing its most significant digital transformation in decades. We are moving away from a fragmented era where health data was locked within the walls of individual hospitals and national borders. In its place, the European Health Data Space (EHDS) is emerging, a unified digital ecosystem designed to give patients control over their data and unleash its potential for research and innovation.
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smartbear

Best AI test automation tools for fast, high-quality releases

Mar 12, 2026 By Robert McNeil In SmartBear
The promise of test automation was simple: automate repetitive testing tasks, catch bugs faster, and ship quality software at scale. Yet for most development teams, that promise remains unfulfilled. Traditional test automation frameworks demand specialized coding skills, require constant maintenance when applications change, and create bottlenecks that slow down release cycles rather than accelerate them.
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kong

Kong Simplifies Multicloud Cloud Gateways with Managed Redis Cache

Mar 12, 2026 By Amit Shah In Kong
As enterprises race to deploy multicloud architectures and Agentic AI, they face a common bottleneck: "state." To govern AI token usage, manage agent-to-agent communication, or optimize performance via caching, API and AI gateways require a persistence layer to synchronize data. We’re excited to share the GA of Managed Redis cache for Kong Dedicated Cloud Gateways (DCGW).
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