Systems | Development | Analytics | API | Testing

AI Agent Manager

This lab was presented at WSO2Con Africa 2026. Presenters: Asanka Abeyweera, Associate Director - Head of Product Management & Architecture, Agent Platform BU, WSO2 Viggnah Selvaraj, Lead Sales Engineer, WSO2 Getting an AI agent to work is only the start. Once it runs, you need to show exactly what it said and why, keep compliance rules in force across agents built by teams that have never met, tell whether quality is improving or slipping, and make sure each agent reaches only the systems it needs.

AI Agent Manager part 2

This lab was presented at WSO2Con Africa 2026. Presenters: Menaka Jayawardena, Technical Lead & Head of Engineering, Agent Platform BU, WSO2 Viggnah Selvaraj, Lead Sales Engineer, WSO2 This is the second half of the hands-on AI Agent Manager lab. It picks up where part one left off and keeps the focus on operating AI agents that already work, rather than writing new ones.

Introducing Kong Bot Detector: Native API Bot Detection for Dedicated Cloud Gateways

Bots make up more than a third of internet traffic, and API endpoints attract more of it than web pages do. Scanners hunting for.env files, credential-stuffing scripts, LLM training crawlers, and the long tail of low-effort probes all hit your gateway before they ever reach a service. Every one of those requests costs you — in upstream load, in noise across your analytics, and in the bill.

Avoid API Rate Limiting: 10 Common Causes

If you want to avoid API rate limiting headaches during load testing, start by proactively monitoring usage patterns. Use real-time metrics to catch spikes before they trigger throttling. Tools like LoadFocus make it easier to visualize these patterns and pinpoint problematic clients or endpoints. Review how you structure requests – batching similar calls together and caching predictable responses can cut down on redundant traffic and ease pressure on the API.

Holiday readiness: run your first load test with skills

Before you can answer whether checkout will survive Black Friday, you need a test you can rerun. In this demo, we used a coding agent and the Speedscale skills to record a Node app, mock its downstream API, and run a 30-second load test with 10 virtual users. That’s a small first step in holiday readiness. It gives you a working test and a result to inspect, with time left to fix what you find before a code freeze.

Agentic AI Governance: The Complete Guide to Frameworks and Controls

Agentic AI governance is the structured management of the authority an organization hands to autonomous AI systems that plan and take action on its behalf. It covers what an AI agent is allowed to do, which systems it can touch, and how those permissions are monitored, limited, and revoked using robust autonomous AI governance controls.