The blockchain intelligence agency blamed North Korea for hacking, and cryptocurrency theft losses exceeded US$1 billion in 2026.
Chainalysis disclosed that its artificial intelligence tools tracked the flow of US$387 million stolen from cryptocurrency exchange Bitget in less than 10 minutes. The company said it would take analysts about 20 hours to track funds using traditional manual methods across chain bridges.
This significant increase in speed highlights the transformation in the way blockchain forensics companies respond to major exchange intrusions. Manual tracking of cross-chain bridges has long been one of the most time-consuming aspects of any cryptocurrency hacking investigation. Stolen funds are often split up, swapped between different assets, and routed through multiple cross-chain bridges to conceal their source and destination.
Chainalysis blamed the Bitget hack on actors linked to North Korea. Relevant reports pointed out that the flow of funds involved XRP and Bitcoin, indicating that there is a multi-asset money laundering model rather than the transfer of a single token. State-backed groups linked to North Korea have a long record of targeting cryptocurrency exchanges and using complex trading chains to launder illicit gains.
The disclosure comes as Chainalysis reported that as of 2026, cryptocurrency theft losses caused by North Korea-related actors have exceeded US$1 billion. This number highlights the scale of the threat faced by exchanges, cross-chain bridges and custody service providers this year. This has also put greater pressure on the industry to adopt faster detection and response tools.
Faster tracing capabilities are crucial because the window for freezing or recovering stolen funds quickly narrows after an intrusion. Attackers typically move assets through multiple wallets and platforms within hours, aiming to launder funds before investigators intervene. Reducing analysis time from 20 hours to a few minutes could materially change the speed at which exchanges, law enforcement and compliance teams respond to real-time events.
Chainalysis did not elaborate on all the mechanisms behind the new AI system in its public statement. The company's broader business is built on blockchain analytics used by exchanges, regulators and law enforcement agencies around the world. As thefts linked to state-supported groups continue to rise, faster tracking tools are likely to be positioned as a core service.
Market Impact
Faster forensic tracing capabilities can help exchanges and custodial service providers respond more quickly to future intrusions, potentially limiting the window of time for attackers to launder money. This may also strengthen the rationale for regulators and compliance teams to rely more on AI-assisted blockchain analysis as an exchange security standard practice.
The Bitget hack blamed on North Korea, coupled with reports of losses of more than US$1 billion in 2026, may continue to put pressure on exchanges to strengthen the security of custody and cross-chain bridges. This may also affect how governments and international organizations deal with sanctions and enforcement issues related to state-linked cryptocurrency theft.
Bitget 案例说明了由 AI 驱动的追踪工具如何开始重塑加密货币黑客调查的速度,尽管与朝鲜有关的盗窃活动在2026年仍在不断扩大规模。
常见问题解答
Chainalysis 的 AI 工具究竟做了什么?
它在不到10分钟的时间内追踪了被盗的 Bitget 资金(价值3.87亿美元)在跨链桥上的流动情况,而此前手动分析完成这一过程大约需要20小时。
Chainalysis 认为谁应对 Bitget 被黑事件负责?
Chainalysis 将3.87亿美元的黑客攻击归咎于与朝鲜有关联的行为体,这与更广泛的由国家支持的交易所攻击模式一致。
2026年与朝鲜有关的加密货币盗窃总额是多少?
Chainalysis 报告称,截至2026年,与朝鲜有关联的行为体造成的损失已超过10亿美元。
Bitget 被黑事件的资金流动涉及哪些资产?
关于该事件的报道指出,在资金跨越钱包和平台移动时,使用了 XRP 和比特币。
为什么更快的区块链追踪对交易所很重要?
更快的追踪可以缩短攻击者清洗被盗资产的时间窗口,从而有可能提高在入侵发生后冻结或追回资金的机会。

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