AI Agent API Integration: Patterns & Best Practices
Make enterprise APIs discoverable and consumable by AI agents. Compare the five integration patterns, the core challenges, and how to choose.
Enterprise MCP: The Control Plane for AI Agents
What enterprise MCP is, why scaling MCP safely is hard, and the control-plane architecture (identity, governance, gateway, observability) enterprises need for AI agents.
MCP Gateway vs MCP Proxy: What's the Difference?
MCP gateway vs MCP proxy: a proxy moves traffic, a gateway governs identity, consent, authorization, and audit. Learn when you need each for production AI agents.
MCP Governance: Controlling Third-Party MCP Tools
A practical guide to MCP governance: registries, allowlists, RBAC, and policy to safely govern third-party MCP tools and servers across the enterprise.
MCP Monitoring: Observability for MCP Servers
How to monitor MCP servers: the metrics that matter (tool latency, error rates, usage patterns), logging and tracing with OpenTelemetry, and what not to log.
MCP Security: Risks, Threats and Controls
Understand MCP security: the top risks (prompt injection, tool poisoning, excessive permissions) and the controls that secure Model Context Protocol servers and agents.
MCP Server Catalog: Building an Internal Registry
What an MCP server catalog is, public directories vs a governed internal registry, and how enterprises curate approved MCP servers with provenance and access control.
MCP Server Security: 8 Best Practices
MCP server security best practices: OAuth 2.1, least privilege, scope control, credential vaults, and auditing to ship production-ready AI agents safely.
MCP Tool Poisoning: How It Works & How to Stop It
MCP tool poisoning hides malicious instructions in tool metadata. Learn how the attack works, real CVEs, and how an MCP gateway detects and blocks it.
What Is an MCP Gateway? Features & Benefits
Learn what an MCP gateway is, how it works, and why it's essential for securing AI agents and MCP servers at enterprise scale: features, benefits, and architecture.
Self-Hosted LLM Gateway: Open-source options and how to deploy one
Why and how to run a self-hosted LLM gateway: open-source options, deployment (Docker/Kubernetes), data control, and SaaS vs self-hosted trade-offs.
AI Gateway Security: Guardrails for LLM Traffic
A guide to the concrete controls that secure LLM and agent traffic: prompt-injection defense, PII redaction, authentication and RBAC, guardrails, and audit logging.
Prompt Injection Defense: Techniques That Actually Work
How to defend against prompt injection: input validation, prompt templating, trust boundaries, human-in-the-loop, and gateway guardrails. Practical techniques.
PII Redaction for LLMs: How to Do It Right
How to redact PII before it reaches an LLM: detection with regex and NER, gateway-level filtering of prompts and responses, and compliance with GDPR, HIPAA, and PCI. Includes a complete, end-to-end WSO2 AI Workspace tutorial.
LLM Fallback: How to Build Resilient AI Applications
What LLM fallback is and how to implement it: fallback chains, retries with backoff, and circuit breakers, to keep AI apps running through provider outages.
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