MCP lets an AI agent call your tools and read your data through one standard interface. Securing it is an identity, gateway and logging job on the data platform, not a patch cycle.
MCP Security for Mid-Market Data Teams
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— Blog · The Discipline Layer for AI
Field notes on doing AI the disciplined way.
Contrarian, data-grounded essays on the three things that decide whether AI pays: a sharper problem, governed data, and demand that survives the answer-engine age.
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Growth · Featured essay
AI Content Generation: From Caves to Code
The first content strategists painted on cave walls. The newest ones orchestrate agents. This essay traces the whole arc — and shows how a disciplined content engine drove 359% organic traffic growth for a B2B client by treating generation as a system, not a shortcut.
Frank Shines & Umer Qureshi · Read the essay →
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Read by pillar.
Every post strengthens one of the three foundations — Problem, Data, or Growth.
NIST AI RMF: A Mid-Market Control Map on the Lakehouse
A subcategory-level map from the NIST AI RMF and its Generative AI Profile to concrete lakehouse controls a 400-person company can run, with the evidence each control produces.
Databricks Unity AI Gateway: Governing Models, Agents and MCP
Unity AI Gateway is the Databricks AI gateway for models, agents and MCP servers. Here is what governed means in practice, and which parts are GA and which are still Beta.
Azure Databricks Standard to Premium: What Your Bill Does Now
Every remaining Azure Databricks Standard workspace was upgraded to Premium on 1 October 2026. Here is which workloads now cost more, what Premium adds, and five moves that pull the bill back down.
OWASP Top 10 for Agentic Applications, Mapped to Enterprise Data
The OWASP Top 10 for Agentic Applications names ten agent risks. Each one maps to a concrete control in identity, data access, orchestration or audit logging, and most of those controls live in the data layer.
ChatGPT Agent Mode at Work: What Company Data It Can Reach
ChatGPT agent mode acts through connectors and a browser within the user’s own permissions. Here is what it can reach at work, which admin controls matter, and how to hand it governed data instead of raw systems.
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