Blockchain intelligence firm links the breach to North Korea as 2026 crypto theft losses pass $1 billion Chainalysis has disclosed that artificial intelligence tools allowed it to trace the m
Blockchain intelligence firm links the breach to North Korea as 2026 crypto theft losses pass $1 billion
Chainalysis has disclosed that artificial intelligence tools allowed it to trace the movement of $387 million stolen from crypto exchange Bitget in under 10 minutes. The same tracing work, the firm says, would have taken an analyst roughly 20 hours using manual methods to follow funds across blockchain bridges.
The speed gain highlights a shift underway in how blockchain forensics firms respond to major exchange breaches. Manual bridge tracing has long been one of the slowest parts of any crypto hack investigation. Stolen funds are frequently split, swapped between assets, and routed through multiple bridges to obscure their origin and destination.
Chainalysis has attributed the Bitget hack to actors linked to North Korea. Reporting on the incident has referenced movement involving both XRP and Bitcoin, pointing to a multi-asset laundering pattern rather than a single-token transfer. North Korean state-linked groups have a long documented history of targeting crypto exchanges and using complex transaction chains to launder proceeds.
The disclosure comes as Chainalysis reports that crypto theft losses tied to North Korea-linked actors have surpassed $1 billion so far in 2026. That figure underscores the scale of the threat facing exchanges, bridges, and custody providers this year. It also puts renewed pressure on the industry to adopt faster detection and response tools.
Faster tracing capability matters because the window to freeze or recover stolen funds narrows quickly after a breach. Attackers typically move assets through multiple wallets and platforms within hours in an effort to launder proceeds before investigators can intervene. Reducing the analysis time from 20 hours to minutes could materially change how quickly exchanges, law enforcement, and compliance teams can respond to live incidents.
Chainalysis has not detailed every mechanism behind the new AI system in public statements referenced in this reporting. The firm's broader business is built on blockchain analytics used by exchanges, regulators, and law enforcement agencies worldwide. Faster tracing tools are likely to be positioned as a core offering as thefts linked to state-sponsored groups continue to rise.
Faster forensic tracing could help exchanges and custodians respond more quickly to future breaches, potentially limiting the window attackers have to launder stolen funds. It may also strengthen the case for regulators and compliance teams to lean more heavily on AI-assisted blockchain analytics as a standard part of exchange security practice.
The attribution of the Bitget hack to North Korea, combined with the reported $1 billion threshold for 2026 losses, is likely to keep pressure on exchanges to tighten custody and bridge security. It may also influence how governments and international bodies approach sanctions and enforcement tied to state-linked crypto theft.
The Bitget case illustrates how AI-driven tracing tools are beginning to reshape the speed of crypto hack investigations, even as North Korea-linked theft continues to grow in scale through 2026.
It traced the movement of $387 million in stolen Bitget funds across blockchain bridges, a process that manual analysis previously completed in about 20 hours, in under 10 minutes.
Chainalysis has attributed the $387 million breach to actors linked to North Korea, consistent with a broader pattern of state-linked exchange attacks.
Chainalysis reports that losses tied to North Korea-linked actors have surpassed $1 billion so far in 2026.
Reporting on the incident references both XRP and Bitcoin being used as stolen funds moved across wallets and platforms.
Quicker tracing can shorten the window attackers have to launder stolen assets, potentially improving chances of freezing or recovering funds after a breach.
Originally reported by AltcoinGordon, written by Daniel Foster. Republished with permission.
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