Deep dives on AI agent governance, MCP security, compliance, and enterprise agentic architecture.
EU AI Act compliance explained: risk tiers, provider and deployer obligations, GPAI rules, 2026 deadlines, fines up to 7% of turnover, and where to start.
The OWASP Top 10 for LLM Applications (2025), risk by risk: what LLM01 to LLM10 cover, real attack examples, mitigations, and MITRE ATLAS mappings.
AI guardrails are runtime controls on what an AI agent can take in, output, and do. See the types, architecture, and best practices that keep agents in check.
MCP ships with no compliance layer. Learn how identity, audit logging, and data controls make Model Context Protocol meet SOC 2, GDPR, and the EU AI Act.
Learn what Playwright MCP is and how to set it up. Covers architecture, tools, use cases, CLI vs MCP, and best practices for reliable 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 what an MCP proxy is, how it routes AI agent traffic to MCP servers, and when you need one vs. a full MCP gateway.
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.