Hackers Used Claude and Grok AI Agents to Target More Than 400 Financial Institutions
A cybercrime group reportedly deployed artificial intelligence agents powered by Anthropic’s Claude, SpaceX’s Grok and China’s Moonshot AI to automate attacks against more than 400 financial targets across Latin America, raising fresh concerns about AI-assisted cybercrime.

A cybercrime group known as CyberCartel has reportedly used a network of artificial intelligence agents to automate cyberattacks against more than 400 financial institutions and related organisations across Latin America. According to an investigation by cybersecurity company Straiker, reported by The Information on October 21, 2026, the operation involved AI models developed by Anthropic, SpaceX and Chinese AI company Moonshot AI. The agents were reportedly used to research targets, coordinate attack strategies, identify vulnerabilities and assist in obtaining sensitive information. Investigators said the campaign demonstrated how criminals can combine several AI models with specialised software to carry out complex operations at a scale that would be difficult for a small group of human attackers to manage manually. The report represents a significant warning for financial institutions as AI tools become increasingly capable of performing multi-step technical tasks.
According to Straiker’s findings, CyberCartel used different AI models for specific responsibilities rather than relying on a single system. Grok agents reportedly helped collect information about potential targets, while several Claude models assisted with analysing information and planning technical operations. Another AI-powered component acted as a coordinator, directing tasks and combining information from different agents. The operation also incorporated Moonshot AI’s Kimi models as alternative systems when other models refused certain requests. This approach allowed the operators to redirect tasks between different services and continue their activities when one model imposed restrictions. Researchers said the system could help criminals automate parts of the process involved in gathering intelligence, searching for exposed credentials and attempting to access financial organisations’ digital infrastructure.
One of the most concerning aspects of the investigation was the reported use of techniques intended to bypass AI safety restrictions. Although commercial AI models generally include safeguards designed to prevent assistance with malicious cyber activities, CyberCartel allegedly framed certain requests as authorised security testing or academic research. When a model refused to perform a requested task, the system could redirect it to another model or, in some circumstances, fall back on conventional hacking techniques. Researchers said this demonstrated how safeguards built into individual AI models can become less effective when attackers connect multiple systems through a coordinating software framework. Anthropic reportedly investigated the findings after Straiker notified the company and subsequently blocked the group’s access to Claude. Straiker also shared its findings with SpaceX, while the status of Moonshot AI’s response was not clear in the report.
The investigation also raises concerns about the information that criminals may obtain when targeting financial institutions. Straiker reportedly reviewed records indicating that sensitive information had been collected during the campaign, including credentials and customer-related data. However, the researchers did not publicly identify all affected institutions, and the reported figure of more than 400 targets should not be interpreted as confirmation that every organisation was successfully breached. The distinction is important because attempts to access a system, successful intrusions and confirmed theft of customer information are different outcomes. Nevertheless, the findings suggest that AI-assisted automation could enable attackers to investigate more organisations simultaneously, increasing the workload for security teams and potentially shortening the time available to detect suspicious activity. Financial institutions may therefore face growing pressure to strengthen authentication systems, monitor unusual access patterns and respond quickly when credentials are compromised.
The incident forms part of a broader pattern of AI-assisted cybercrime documented by cybersecurity researchers in recent months. In a separate investigation published on October 21, CrowdStrike reported that four previously unidentified threat groups had used AI systems to support successful attacks between May and August 2026. The groups reportedly employed different combinations of commercial and open-weight models, demonstrating that criminals do not necessarily need access to the most advanced AI systems to increase the speed and scale of their operations. Experts have warned that AI can lower the technical barriers to certain cyberattacks by helping operators analyse information, automate repetitive tasks and coordinate multiple tools. However, the findings do not mean that AI has eliminated the need for human involvement: investigators continue to observe people selecting targets, directing operations and making important decisions. The growing challenge for defenders is to identify and contain attacks that can progress much faster with automated assistance.
For businesses and financial institutions, the CyberCartel investigation highlights the importance of treating AI-assisted attacks as an evolving cybersecurity risk rather than a distant possibility. Organisations may need to improve their ability to detect automated reconnaissance, secure exposed services, enforce multi-factor authentication and rapidly revoke compromised credentials. AI companies also face pressure to identify malicious users, strengthen safeguards and prevent their models from being combined into systems designed to facilitate criminal activity. At the same time, the technology has legitimate uses in cybersecurity, including identifying vulnerabilities and helping defenders respond to incidents more efficiently. The central challenge is ensuring that defensive capabilities develop quickly enough to counter the speed and reach of automated attacks. The CyberCartel case offers an early indication of how criminals may use interconnected AI agents in future operations, although the full extent of the campaign and the number of confirmed victims remain uncertain.



