AI Blue · Module 4 · The Team in the Organisation

Measuring the Transformed Blue Team: Speed, Coverage and Quality of Judgement

The lesson shows how to measure a blue team that works with AI without rewarding the wrong behaviour, across all five functions. Participants see how mean time to detect, mean time to respond, closure rate and alert volume are gamed, replace them with four families of measure, speed, coverage, quality of judgement and learning, each with a gaming check, build a one-page board report with at most three decisions, and set the limits on measures about people.

Lesson 20 of 28Chapter 2090 minutes

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Learning objectives

After the lesson the participant can:

Key concepts

Verified incidents as the denominator
Speed is measured on verified incidents, not alerts. An alert closed as benign does not enter the denominator, and an incident found by a hunt, a purple exercise or a third party does.
Gaming check
The check paired with a measure that shows when it is being bought: reversal share for time to contain, the date of the last passing test for coverage, the seed protocol for judgement, a passing re-test for learning.
Cost per verified case
The cost of the SOC's analyst time, platform and agent budget divided by the number of cases verified as incidents. It prices judgement and replaces cost per alert.
Board page
One page with at most three decisions, each traced to a measure. Every figure is shown with its count, because 0.86 from 28 seeds and 0.86 from 280 seeds are different statements.
Minimum group size
A figure for a group so small that it identifies a person is an individual figure. Nordvik Region's six analysts are therefore reported as a whole unit, never by shift, week or reviewer.

Interactive exercises

Do them here and get feedback at once. Choose a card and then where it belongs, or drag it.

Interactive exercise 1 · Sort

Four families of measure

Sort each measure into the family the chapter places it in.

Interactive exercise 2 · Scenario

The provider's figures and the board page

Apply the chapter's rule on what may go on the board page.

Teaching plan

15 minTeacher presents the table of the four old measures: what each rewards, how it is gamed with or without AI and what it hides.
15 minGroups take one family each, speed, coverage, quality of judgement or learning, and explain its measures and gaming check to the class.
15 minReading of the board page BTP-HM-2027-Q3: a median time to contain of 6 minutes, 11 of 12 containments held, a caught-seed rate of 0.86, and two decision requests.
35 minExercise: participants replace a closure-rate target with three measures and a gaming check each, and sketch the board page.
10 minClosing discussion on benchmarks and their limits and on the four limits for measures about people.

Discussion

  1. A measure is safe as a target only if the behaviour that improves it is the behaviour the organisation wants. Which of your current targets fails that test?
  2. The practical guide says to set thresholds, not targets, and to express them as stop rules. What changes in behaviour when a number triggers a stop instead of a reward?
  3. Hansa Mutual's problem is too much data and Nordvik Region's is that it cannot yet see its provider. Which is the harder position from which to report honestly to a board?

Written exercise

Exercise · 35 minutes

Replacing a closure-rate target

Follow the seven steps of the practical guide for your own SOC or for Nordvik Region. Withdraw the target on closure rate or alerts handled and say where the figure stays for capacity planning. Write the scope to agree with employee representatives: which measures, at which level and for how long. Choose one measure from speed, one from quality of judgement and one from learning, and attach a gaming check to each. Describe the one-quarter shadow run in which old and new figures are reported side by side, and what divergence you would look for. Express any trigger as a stop rule. Then sketch the board page with counts beside every figure and no more than three decisions.

Deliverable: A measurement proposal with three measures, three gaming checks, agreed reporting scope, a shadow-run plan and a one-page board report sketch.

Self-test

Choose an answer to see whether it is right, or open the answer below each question.

  1. What happens to mean time to respond and closure rate on the day an AI system starts closing defined classes of alert?

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    C. They improve, whether or not the system closes correctly
    AI closure improves both measures the day it is switched on regardless of correctness, which is why the chapter says closure rate is safe as a target only if every closure is correct, the property it does not observe.

  2. What is the gaming check for the coverage family?

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    B. The date of the last passing test, carried in every cell of the map
    Coverage can be inflated by declaring detections and never testing them or by mapping one rule to many techniques. The date of the last passing test in every cell exposes it.

  3. Which rule does the chapter set for measures about people?

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    D. No measure is computed per named analyst, and agreement with representatives precedes collection
    The four limits are no individual scoring, a minimum group size, agreement before collection, and seeds that are not traps for individuals: analysts are told that seeding exists.