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Chainalysis discloses breach from AI-driven cyberattack

The blockchain-analytics firm says an external actor used agentic AI techniques to access internal systems, exposing customer names and emails but not investigation data or credentials.

by TechDefused Newsroom · Editor IL
A person wearing a hoodie stands against a backdrop of green binary code, with their face illuminated by the projected numbers. The image evokes themes of technology and digital transformation. — Credit: Photo by Joshua Koblin / Unsplash cPhoto by Joshua Koblin / Unsplash
Photo by Joshua Koblin / Unsplash

Chainalysis, the blockchain-analytics company whose software underpins crypto investigations for governments and financial institutions, has disclosed a data breach tied to an AI-driven cyberattack.

The company said an external actor used "offensive agentic techniques" this month to gain unauthorized access to its systems and internal tools, in an incident disclosed 30 October.

Chainalysis stressed the breach is unrelated to the $6.36 billion Binance heist blamed on North Korean hackers, a separate case affecting the exchange that reported 335 million registered users and roughly $162.8 billion in customer assets in its most recent annual report.

The exposed data was limited to user IDs, full names, email addresses and organizational role labels for platform users.

Chainalysis said investigation graphs, transaction and query results, clear-text passwords and other credentials were not compromised.

"Our teams have been working around the clock to investigate unauthorized activity, patch vulnerabilities, and harden our systems," the company said.

It has not disclosed how many individuals or organizations were affected, saying it is still determining which records were accessed.

Chainalysis, founded in 2014 and reporting coverage of about 90% of cryptocurrency activity for compliance and law-enforcement customers, said it has observed a broader industry rise in AI-driven attacks in recent weeks.

It is now working with external cybersecurity experts and large language models to review and strengthen its defenses, and has urged customers to enable multi-factor authentication and watch for unexpected password-reset prompts.

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by TechDefused Newsroom