Intelligence Module 03

Fraud Signal Intelligence Grid

Detect counterfeit activity, policy breaches, and collector risk by fusing blockchain analytics, social listening, and takedown registries.

Updated Nov 2025 Runtime: 3 hours Difficulty: Intermediate

Module overview

Operationalize a multi-source threat intelligence program designed to protect digital art creators, collectors, and distribution partners. The grid provides triage paths, escalation cadences, and data fusion for faster remediation.

Learning arcs

  • Configure data pipelines from on-chain analytics, marketplaces, and community channels.
  • Prioritize incidents using probabilistic scoring and case management automation.
  • Develop response playbooks for counterfeit, piracy, and misuse scenarios.

Inside the toolkit

Signal Fusion Canvas

Map data sources and alert types by detection confidence and response ownership.

Alert Automation Nodes

Set up webhook recipes for Slack, PagerDuty, and internal dashboards.

Legal Escalation Guides

Detailed steps for DMCA, EU DSM, and LATAM takedown processes.

Stakeholder Brief Decks

Customizable templates to align executives and partners on risk posture.

Implementation milestones

  • Phase 1: Catalog assets, marketplaces, and existing risk signals.
  • Phase 2: Stand up the signal fusion dashboard with key automations.
  • Phase 3: Pilot takedown workflows and iterate on escalation ladders.
  • Phase 4: Publish quarterly risk retrospectives for stakeholders.

Threat intelligence desk

Tap into Aurora Ledger’s analysts who monitor emerging fraud patterns and provide custom early warning briefings.

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