Shadow AI
Shadow AI's Personal Account Problem: Why 47% of Your AI Traffic Is Invisible
Nearly half of all enterprise AI usage flows through personal accounts your IT team can't see. Here's what to do about it.
Valentina Cruz
Valentina Cruz is an Enterprise AI Analyst at LangSmart. She holds an MBA from the University of Connecticut and covers AI governance, infrastructure security, and the emerging control plane category for regulated enterprises.
On-Premise
On-Premise AI Is Not Optional for Regulated Industries. Here's Why.
When 72% of AI apps leak secrets and cloud backends are misconfigured by default, data sovereignty isn't a preference — it's a requirement.
AI Security
The Slopocalypse: What 406 Million Exposed AI Records Tell Us About Enterprise Risk
A security scanner found 98.9% of AI apps exposing user data. The root cause has direct implications for enterprise AI architecture.
Data Security
AI Data Security in 2026: The Numbers Are Staggering
Generative AI users tripled. Data volume to AI tools increased sixfold. Policy violations doubled. Welcome to 2026.
EU AI Act
The 2026 AI Compliance Clock: What the EU AI Act's August Deadline Means for US Companies
The EU AI Act's August 2026 deadline applies to any company serving EU customers. Most US enterprises are not prepared.
Year in Review
Year in Review: Five AI Governance Lessons Enterprises Learned the Hard Way in 2025
From shadow AI breaches to governance-as-enabler, here are the five lessons that shaped enterprise AI strategy in 2025.
Docker
Docker + MCP: Why Containerized AI Tool Orchestration Changes the Enterprise Game
Docker's MCP Catalog makes 100+ tool servers discoverable. For enterprises, this is both a capability unlock and a governance challenge.
AI Security
2026 AI Security Predictions: Data Exhaust, Autonomous Adversaries, and the Identity Crisis
Security leaders predict the first major breach from AI data exhaust, the rise of autonomous attackers, and an identity crisis at the intersection of AI and access management.
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 Regulation
Trump's AI Executive Order: What Federal Preemption Means for Enterprise Compliance
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 Goes All-In on MCP Servers — And Exposes the Enterprise Governance Gap
Google's managed MCP servers make agent integration easier. They also make the governance question impossible to ignore.
Enterprise AI
Why 95% of Enterprise AI Pilots Are Failing — And What It Really Takes to Fix It
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