Industry & Ecosystem
AI Governance in 2026: What I Learned from Talking to CISOs and Platform Teams at Ai4
AI tools are already inside the enterprise. Discover what Ai4 conversations revealed about AI governance, MCP security, endpoint control, and adoption.
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OWASP Has Mapped MCP Risk. Enterprises Still Have to Govern It
OWASP defines MCP security risks, but the protocol leaves enforcement to implementers. Discover the enterprise controls needed to govern MCP with Obot.
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MCP Is Growing Up: The 2026 Roadmap Takes Shape
MCP's 2026 roadmap is becoming reality. Discover how stateless architecture, governance updates, and enterprise-ready patterns reshape Model Context Protocol.
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What Is AI Governance: A Framework for Enterprise MCP Teams
Understand AI governance and why MCP is becoming the foundation for secure, observable, and compliant AI agent deployments across the enterprise.
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Enterprise-Managed Authorization Shows MCP Is Growing Up
Enterprise-Managed Authorization brings centralized access control to MCP. See how EMA works, why it matters, and where Obot fits into enterprise AI governance.
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MCP Observability: How to Monitor AI Agent Activity in the Enterprise
Learn what MCP observability is, why enterprises need it, and how Obot helps monitor, govern, and audit AI agent access to tools, data, and MCP servers.
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AI Governance Trends 2026: What Enterprise Teams Need to Know
Explore the top AI governance trends shaping 2026, from EU AI Act compliance and shadow AI to agent oversight and enterprise risk management.
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The Client Zoo Problem: Why Enterprise AI Needs Central Skills Management
As AI clients multiply, enterprise knowledge gets trapped in silos. See how centralized skills management helps teams govern, distribute, and reuse AI workflows.
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MCP Security Has Gone Mainstream
MCP governance is rapidly becoming a top concern for enterprise security, legal, and procurement teams. Learn the four operational controls organizations need to manage AI agents and connectors securely.
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7 Things Buyers Now Expect From an Enterprise MCP Platform
Enterprise buyers are converging on seven non-negotiable requirements for an enterprise MCP platform, from identity-anchored access and tool governance to audit exports and deployment flexibility.
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From Shadow AI to AI-BOMs: A Proactive AI Governance Framework
The EU AI Act begins enforcement on August 2, 2026. For enterprises still running undiscovered AI tools, unapproved model integrations, and untracked MCP server connections, that date is closer than most AI governance framework conversations have gotten to. Shadow IT took roughly two decades to move from widespread problem to regulatory mandate. Shadow AI will […]
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Skills Aren’t the MCP Killer: Notes from the Best Talk at MCP Dev Summit
A live demo revealed a critical AI security flaw. Here’s why skills + MCP are essential for safe, scalable enterprise AI.
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