AI-driven cross-chain tracing changing the game for crypto forensics against state-sponsored hackers? đŸ“ˆđŸ•”ïžâ€â™‚ïžđŸšš

​On-chain analytics giant Chainalysis has officially attributed the massive $387 Million Bitget hot-wallet exploit to North Korea-linked actors (Lazarus Group)! This attack pushes total crypto stolen by DPRK-affiliated hackers past $1 Billion.

​Key On-Chain Breakdown & AI Tracing Highlights:

‱ 4-Chain Outflow: The stolen $387M was moved across Ethereum (49.7%), XRP Ledger (40.8%), Zcash (7.6%), and Tron (1.8%) within three hours.

‱ AI Multi-Chain Automation: Chainalysis used in-house AI tools to compress over 20 hours of manual bridge reconciliation into under 10 minutes!

‱ Complex Laundering Route: Stolen $XRP was swapped through cross-chain liquidity protocols directly into $BTC to bypass centralized exchanges without detection.

‱ Real-Time Blacklisting: On-chain labels are now live to help exchanges and law enforcement freeze and intercept funds moving through mixers and DEXs.

​While state-sponsored hackers continue using sophisticated cross-chain hopping, AI forensic tools are drastically shrinking the time it takes to track, tag, and isolate stolen capital!

​Do you think AI tracing tools will eventually make cross-chain crypto laundering impossible for hackers? Drop your thoughts below! 👇

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​(Not Financial Advice — Protect your exchange accounts, use 2FA/Hardware keys, and DYOR!)

#BitgetHacked #BitgetHackerMoves