How Top Operators Fight Fraud in Crypto & Gaming
summary
Panel lays out concrete wins and failures: transaction monitoring and strong governance catch spikes like 300 new accounts from Malawi that signal mule networks; identity stacks use Sumsub/Veriff plus proprietary models that synthesize examples to counter a 3,000% increase in deepfake attacks; VOP/travel‑rule integrations exist but suffer interoperability and GDPR friction; advice is to tune transaction‑monitoring rules, document procedures for high staff turnover, budget for ML retraining, and treat payee verification as mandatory rather than checkbox.
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chapters (13)
- 0:00Start
- 0:20Introduction
- 1:00Panel Overview
- 4:15AML Risks
- 7:13Governance Challenges
- 13:01Transaction Monitoring
- 18:07Emerging Fraud Vectors
- 19:05Deepfake Threats
- 22:03Verification of Payees
- 25:21Best Practices
- 28:04Future Trends
- 30:20Proactive Compliance
- 31:34Closing Remarks
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