Lion Cipher Lab

Write a strategic threat forecast you can be held to: base rates, calibrated probability language, and a Brier score that grades your own analysis

Why it matters

A CISO planning next year's budget asks one question: should we fund this? Most cyber threat intelligence teams answer it with a sentence like 'ransomware remains a significant threat and edge devices are increasingly targeted.' That sentence cannot be acted on, cannot be wrong, and therefore cannot be graded — which is precisely why it gets written. It is intelligence-shaped text with no evidence and no accountability behind it. This lab replaces it with something a leader can actually spend money against: a numbered probability, a fixed time window, a resolution test written down in…

What you'll learn

Steps in this lab

  1. Three levels of intelligence — and the one almost nobody actually produces
  2. The three legs a defensible forecast stands on
  3. Get the data: verify the live CISA KEV feed, then lay down the offline snapshot
  4. Compute the base rates — and see counts and proportions behave differently
  5. What a base rate licenses you to say — and what its collection process quietly does to it
  6. Bridge the base rate to a probability with a Poisson tail — and name the assumption
  7. Why 'likely' is not an analytic judgement: Kent's problem and the ICD 203 ladder
  8. Rewrite three vague sentences into calibrated ones (do this by hand)
  9. Probability and confidence are two different axes — never collapse them
  10. Register the forecast before you know: a falsifiability linter
  11. Build a year of resolved forecasts — the register you will be graded on
  12. Write the Brier harness and run it: the score and its decomposition
  13. Read the calibration table for your own bias signature — then correct it
  14. Beat the reference forecaster, or you added nothing
  15. Write the product: a worked strategic assessment, then one of your own
  16. The six named failure modes
  17. When this is worth the effort, when it is not, and how a pro does it better
  18. The judgement: what being scored does to analysis

Open the full interactive lab →