Chainalysis acquires AI fraud detection startup Alterya


Chainalysis has acquired AI-powered fraud detection startup Alterya.

The blockchain analytics platform announced the acquisition on January 13, with details in Business Insider a report Which indicates that Chainalysis completed the deal for $150 million. Sequential analysis advertisement He did not reveal any financial details.

Alterya's AI-powered architecture allows fraudsters to be identified before they reach their victims. The startup is already collaborating with major players in the industry, including Binance and Coinbase. Through these partnerships, Alterya currently helps monitor more than $8 billion worth of transactions, benefiting more than 100 million end users.

The Tel Aviv-based company raised $9.8 million in a seed funding round that attracted venture capital firms Y Combinator, Battery Ventures, NFX and Nyca.

The acquisition of Alterya adds to Chainalogy's recent deal for web security platform 3 Hexagate. The company too a partner With financial advisory platform AlixPartners to enhance cryptocurrency compliance and tracking services.

“With this acquisition, Chainalysis can now provide proactive, real-time fraud protection for payments and enhance fraud detection during the Know Your Customer (KYC) process for exchanges, blockchain and wallet providers,” Chainalysis wrote in the blog post.

Chainalysis sees Alteria as a major step in its mission to combat scams and scams in the cryptocurrency industry. In 2024, the sector incurred huge losses exceeding $3 billion due to hackers and fraudsters.

Experts have warned that the increasing use of generative artificial intelligence by attackers could lead to greater losses. In early December, the US F.B.I to caution Fraudsters are taking advantage of artificial intelligence to make cryptocurrency-related scams more difficult to detect.

According to the FBI, artificial intelligence enables criminals to create realistic content on fraudulent websites, making it easier to scam cryptocurrency users.



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