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.
— 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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Every post strengthens one of the three foundations — Problem, Data, or Growth.
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.
Shadow AI: Controlling What ChatGPT, Copilot and Meta Muse Can Read
AI agents inherit the access of the person using them, so shadow AI is really an oversharing and inventory problem. Here is the control stack that fixes it without banning the tools.
Colorado AI Act Replaced: What Data Teams Must Track Before 2027
Colorado’s original AI Act never took effect. Its replacement, SB 26-189, starts 1 January 2027 and turns every consequential automated decision into a record you must keep, explain and review.
Data Silos Are Now a Compliance Problem: One Inventory for Every Rule
Breach-notice clocks, automated-decision rules and AI agents all assume you know where your data is. Data silos break that assumption; one governed lakehouse inventory fixes it.
CCPA Automated Decision-Making Rules: What Data Teams Need by 2027
California’s ADMT rules turn every significant automated decision into a record you must be able to explain. Here is the inventory, lineage and decision-log work a data team needs before 1 January 2027.
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