TRM Labs Research
1 storyResearch on wallet risk methodology forms a central part of TRM Labs Research, alongside work on illicit transaction tracing and compliance program guidance. Its analysis also uses crypto crime typologies, sanctions and compliance analysis, and terrorist financing studies to support comparisons, theses, or assessments of structural change. Use TRM Labs Research for reports whose conclusions depend on wallet risk methodology, with illicit transaction tracing or compliance program guidance forming a material part of the cited analysis. Corporate announcements, funds, and standalone data products from TRM Labs remain separate unless they directly explain the TRM Labs Research work on wallet risk methodology or illicit transaction tracing.
AI Deepfake Scams Drive Crypto Losses to Record Highs in 2026
Losses from AI-driven deepfake scams have surged 263% in 2026, as attackers increasingly target users directly instead of exploiting blockchain code, exposing new vulnerabilities for exchanges, wallets, and individual crypto holders