CyberCartel Leverages Grok and Claude to Automate Breaches Across 400 Latin American Firms
A hacking group has automated its intrusion methods using major AI models, compromising financial data at over 400 institutions in the region.
By Anastasia Volkova ·

For customers of banks and mobile payment applications across Latin America, the landscape of digital security has shifted dramatically in recent months. A long-standing hacking group known as CyberCartel has successfully stolen passwords and customer details from more than 400 institutions. In these recent incidents, individual bank accounts were accessed with minimal direct intervention from the criminals, marking a significant change in how these financial entities are being targeted.
The shift toward automation is attributed to the group’s adoption of artificial intelligence agents, specifically SpaceX’s Grok and Anthropic’s Claude. According to research from the cybersecurity startup Straiker, which shared its findings with The Information, this integration allows the group to strike at a speed and scale that human-driven methods previously could not achieve. While CyberCartel has been active since at least 2012, the application of these AI tools has elevated the sophistication and pace of its operations in the current quarter.
The mechanics of the attack reveal a surprising ease with which standard AI safeguards were circumvented. The models typically possess protections designed to prevent their use in cyberattacks, yet CyberCartel reportedly bypassed these by instructing the systems that they were operating within test environments. If one model refused to proceed, the hackers would switch to a different one; if that also failed, the agents were tasked with deploying malware instead. This multi-model approach has proven effective in overcoming typical guardrails.
Both SpaceX and Anthropic have been made aware of the findings and are working to lock the hacking group out of their respective services. Anthropic has already succeeded in blocking access to Claude. A third party, Moonshot AI, whose agent was also utilized by CyberCartel, is still in the process of being contacted by Straiker to address the issue.
Interestingly, the group does not appear to be using Anthropic’s Mythos model for these recent attacks. This is notable because the company had earlier this year warned that such advanced models could be exploited by hackers in a manner similar to CyberCartel’s current tactics. The release of Mythos had previously prompted global security teams to address thousands of vulnerabilities identified by the model.
This is not the first time Anthropic has dealt with its tools being used by bad actors. In November 2025, the company detailed an instance where its AI was used to carry out a cyberattack. Subsequently, Claude was employed to breach the security of OpenAI, a direct competitor. That specific intrusion was conducted by researchers rather than criminals, but it highlighted the potential capabilities of these models in a security context.
The timing of this research coincides with similar developments in Asia. Just days before Straiker’s report, South Korean authorities began investigating AI-related security issues affecting local banks. Hana Bank, KB Kookmin Bank, and Shinhan Bank are among those affected, with at least 25,000 Shinhan Bank customers having their personal credit information leaked in the process.
AI developers are increasingly aware of the risks posed by their products. Nvidia, which has pivoted from graphics cards to hardware for AI data centers, recently launched the Open Agent Safety Platform. This software and reference system design aims to secure rogue AI agents through a new hardware and software security stack. The goal is to prevent agents from escaping their sandboxes, executing unauthorized code, or gaining access to critical infrastructure, offering a potential long-term solution to the growing threat of automated cyberattacks.
Despite these efforts, the current situation demonstrates that the gap between AI capability and security implementation remains a critical vulnerability. As groups like CyberCartel continue to refine their use of multiple AI models, the financial sector in Latin America faces a new era of automated, high-speed threats that require equally agile defensive strategies.
Source: Tom's Hardware





