AI Governance
The Three Gaps Killing Enterprise AI Governance: Visibility, Conceptual, and Literacy
Credo AI's CEO identifies why 86% of enterprises aren't AI-ready. The answer isn't what most boards expect.
AI Governance
Credo AI's CEO identifies why 86% of enterprises aren't AI-ready. The answer isn't what most boards expect.
AI Regulation
The December 11 Executive Order aims to replace 50 state AI frameworks with one federal standard. Here's what that means operationally.
Google Cloud
Google's managed MCP servers make agent integration easier. They also make the governance question impossible to ignore.
Enterprise AI
A recent study from MIT has sparked renewed debate in the enterprise AI world: despite massive investment in generative AI—estimated between $30–40 billion annually—the vast majority of AI pilots still fail to reach meaningful production impact. According to the research, 95% of enterprise AI pilots deliver no
AI Governance
Fortune 500 boards are demanding AI governance. Only 14% of their companies can deliver it. The gap is operational, not strategic.
MCP
MCP's move to vendor-neutral governance under the Linux Foundation signals permanent infrastructure status for enterprise AI.
Shadow AI
IBM's data quantifies the exact premium enterprises pay when AI usage outpaces governance. The numbers demand action.
MCP
MCP's explosive growth creates both opportunity and risk. Most enterprises are capturing the opportunity while ignoring the risk.
MCP
The MCP spec's enterprise pivot exposes a critical gap: who governs what your AI agents can do with the tools they discover?
AI Regulation
With 480+ state AI bills and a leaked federal preemption order, enterprises face a compliance maze with no clear exit.
AI Security
IBM's landmark study reveals the single most common factor in AI-related security incidents.
Shadow AI
New data shows 47% of enterprise AI usage happens through personal accounts. The financial and legal exposure is staggering.