Week 6~90 minLesson 6 of 6

Integration & Capstone

Plugging model output into Chainalysis, Arkham, or internal dashboards · Precision/recall tuning for security: cost of false negatives vs false positives · Capstone: deploy a working detector on a testnet data feed

01Objectives
  • 01Understand and apply: Plugging model output into Chainalysis, Arkham, or internal dashboards
  • 02Understand and apply: Precision/recall tuning for security: cost of false negatives vs false positives
  • 03Understand and apply: Capstone: deploy a working detector on a testnet data feed
01

Plugging model output into Chainalysis, Arkham, or internal dashboards

This section covers plugging model output into chainalysis, arkham, or internal dashboards. Content for this lesson is being developed by our practitioner team and will be available when the program launches.

02

Precision/recall tuning for security: cost of false negatives vs false positives

This section covers precision/recall tuning for security: cost of false negatives vs false positives. Content for this lesson is being developed by our practitioner team and will be available when the program launches.

03

Capstone: deploy a working detector on a testnet data feed

This section covers capstone: deploy a working detector on a testnet data feed. Content for this lesson is being developed by our practitioner team and will be available when the program launches.

02Exercises
  1. 01Complete the hands-on lab for integration & capstone.
  2. 02Review the provided case study and answer the reflection questions.
03Key takeaways
  • Plugging model output into Chainalysis, Arkham, or internal dashboards
  • Precision/recall tuning for security: cost of false negatives vs false positives
  • Capstone: deploy a working detector on a testnet data feed