Systems | Development | Analytics | API | Testing

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.

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.

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.

Learn how to ensure consistent AI interactions and drastically reduce latency using the WSO2 AI Gateway. This step-by-step tutorial demonstrates how to standardize your LLM requests for quality and efficiency while cutting down on redundant API costs. We explore "Prompt Management" to enforce organizational guidelines using templates and decorators, and "Semantic Caching" to leverage vector embeddings—serving instant, cached responses for semantically similar queries to minimize expensive LLM calls.

Learn how to mitigate skyrocketing AI costs and prevent model outages using the WSO2 AI Gateway. This step-by-step tutorial shows you how to move beyond simple request limits and implement smart, token-based usage policies. We also demonstrate "Adaptive Model Routing" showing you how to automatically switch between models when rate limits are hit, and how to distribute traffic using weighted round-robin to optimize for cost and performance.

In this hands-on screencast, we walk through how to implement Gateway Federation using WSO2 API Manager. Modern enterprises often operate multiple API gateways across environments, business units, regions, or subsidiaries. Managing and governing APIs across these distributed gateways can quickly become complex and inconsistent. *In this video, you’ll learn* : If you're building a distributed API ecosystem and need centralized governance without losing flexibility, this video is for you.

As organizations grow, so does API sprawl. Different teams deploy different gateways. Business units run isolated API stacks. Regions operate independently. The result? Fragmentation, duplicated effort, inconsistent governance, and reduced visibility. *In this video, we explain*: If you're managing APIs across multiple environments and want clarity, control, and scalability — this is where to start.

Remember the ‘Prompt Engineer’ hype? It’s died down, but prompts are still the heart of AI. They shape an LLM’s personality and focus by guiding its vast knowledge. Curious how these system prompts fit into complex, multi-agent enterprise systems? Listen to the complete breakdown in *EP 19: Demystifying Agents*

Learn how to manage and scale your AI agents using the new MCP (Model Context Protocol) Gateway and MCP Hub in WSO2 API Manager 4.6.0. What’s covered: Whether you are using CrewAI, AutoGen, or LangChain, the WSO2 MCP Gateway allows secure connectivity to your MCP endpoints.