Articles
-
Decide which agent control plane is authoritative for what
Most enterprises will run more than one agent control plane. A default split says which one holds the record for inventory, identity, policy and audit.
Source: AI Control Plane Handbook
CIOCTOAI control plane
-
Cleaning is the analysis
Duplicates, hidden missing codes and mixed units change results without raising an error. Audit the data before you trust any number it gives you.
Source: Visual Handbook
AnalystDeveloperData science
-
Adoption is outrunning governance
Four recent surveys find AI agents spreading faster than the controls around them. Each measures something different, so read each one on its own terms.
Source: AI Control Plane Handbook
CIOCTOAI control plane
-
What an enterprise AI control plane is
Three capabilities define an enterprise AI control plane. Each one becomes a question you can put to any vendor that says it sells one.
Source: AI Control Plane Handbook
CIOCTOArchitectAI control plane
-
Builders need to plan for the 2026 changes to MCP and A2A
A2A reached version 1.0, MCP became stateless and agent payments moved toward a standard in 2026. Each change reaches code already in production.
Source: AI Control Plane Handbook
DeveloperAI EngineerAI control plane
-
Each OWASP agentic threat maps to a control you can test
The OWASP Top 10 for Agentic Applications names ten risks. Each one maps to controls a team can put in place and test today.
Source: AI Control Plane Handbook
DeveloperAI EngineerCISOAI control plane
-
Phase the work so value shows at every milestone
A phased program shows value at months 3, 8, 14 and 24, with evidence for each milestone. It gives finance something to judge long before full payback.
Source: AI Control Plane Handbook
CIOAI control plane
-
Every AI claim is a statistical claim
A model's accuracy, a pilot's savings and a survey's headline are all estimates from a sample. Three questions show whether each one holds up.
Source: Visual Handbook
CIOCTOAnalystStatistics
-
The same survey says 11.29% or 8.44%
A national survey puts depression at 11.29% or 8.44%, depending on whether its weights are used. Check both before you quote a survey number.
Source: NSDUH study
AnalystCIOStatistics
-
88.7% accurate and missing almost every case
A survey model scored 88.7% accuracy by answering no to almost everyone. Judge a classifier against its base rate, and read recall and kappa too.
Source: NSDUH study
CIOAnalystData ScientistMachine learning
-
pandas groupby, merge and reshape without surprises
Most analysis runs through three pandas operations. Each has a default that can change your numbers without an error, and an argument that prevents it.
Source: Visual Handbook
AnalystDeveloperPython