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Chainalysis AI cuts $387M Bitget hack tracing to under 10 minutes

Chainalysis AI cuts $387M Bitget hack tracing to under 10 minutes Image: Decrypt
Image via Decrypt.

Chainalysis said its in-house AI reduced more than 20 hours of manual bridge reconciliation to under 10 minutes while investigating the $387 million Bitget hack. The breach involved 23 transfers across four chains within three hours. Chainalysis assigned 49.7% to Ethereum, 40.8% to XRP, 7.6% to Zcash and 1.8% to Tron. Investigators directed the matching and reviewed results. Chainalysis attributed the attack to North Korean actors, pushing their 2026 theft above $1 billion. Stolen XRP was swapped to Bitcoin addresses controlled by attackers.

Key points

  1. Chainalysis said its in-house AI cut over 20 hours of manual bridge reconciliation to under 10 minutes.
  2. Chainalysis attributed the attack to North Korean actors and said their 2026 crypto theft was above $1 billion.
  3. Investigators directed the AI matching and reviewed results, while stolen XRP moved through cross-chain swaps to Bitcoin.

Why it matters

A faster tracing workflow can help exchanges, issuers and law enforcement match cross-chain flows. The attack pushed 2026 North Korea-linked crypto theft above $1 billion.

Price context · XRP

At publication
$1.49
Now
$1.31
Change since
−12.08%
7 days

Sources · 5 publishers

The Defiant Tier 1 First report
Chainalysis Links $387 Million Bitget Hack to North Korea
Crypto Briefing Tier 2
Chainalysis links most of the stolen XRP in $387M Bitget hack to North Korea
Crypto.news Tier 2
Chainalysis AI traces $387M Bitget hack in under 10 minutes
Blockonomi Tier 3
Bitget Hack Tied to North Korea as Stolen XRP Flows Into Bitcoin
Decrypt Tier 1
Chainalysis Used AI to Trace the $387M Bitget Hack Back to North Korea

Coverage timeline

  1. First reported by The Defiant
  2. Also reported by Crypto Briefing
  3. CryptoVideos brief published
  4. 2 more publishers added to sources
How this page is checked. AI drafted this brief from selected independent reports. Automated checks compare numbers, source coverage and topic terms, but may miss errors. Publication and evidence refreshes run automatically. Read the linked reports for context. Report an error

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