Deep dives on AI agent governance, MCP security, compliance, and enterprise agentic architecture.
AI agents are software systems that reason, plan, and act on your behalf. Learn what AI agents are, how they work, the main types, real examples, and how to run them safely.
AI governance is the framework of policies, controls, and accountability for using AI safely and in compliance. Learn the pillars, NIST/ISO 42001/EU AI Act frameworks, and how to govern autonomous AI agents.
Autonomous AI agents plan and act toward goals on their own. Learn how they work, the levels of autonomy, real examples, risks, and how to govern them safely.
What an AI agent platform is, the capabilities and architecture that define one, build vs buy, an evaluation checklist, and why identity, access, and governance decide which agents reach production.
Learn what Playwright MCP is, how it works, and how to set it up. Covers architecture, features, use cases, CLI vs MCP, and best practices for AI browser automation.
Learn what MCP is, how it works, its architecture, key concepts like tools and resources, security risks, and how to get started building with it.
Learn how to implement MCP access control for AI agents with OAuth 2.1, RBAC, CBAC, and Zero Trust enforcement patterns for platform and security teams.
Learn what MCP tools are, how AI agents discover and invoke them, top MCP servers to use, and how to build, secure, and deploy your own MCP tools.