25,000: The Customer Count Behind a New AI-Driven Banking Threat
A decade-old hacking group is using automated AI tools to breach Latin American financial institutions at a scale that traditional manual attacks could not achieve.
By Aiko Soto ·

For over a decade, a specific hacking collective has focused its efforts on Latin American businesses. However, the nature of these threats has shifted dramatically in recent months. The group, known as CyberCartel, has started deploying artificial intelligence agents to automate its attacks on banks and mobile payment applications. This transition marks a significant change in how cybercriminals operate, moving from manual intrusion to automated, high-volume exploitation.
Research from the cybersecurity startup Straiker reveals that this shift has substantially expanded the group's reach. By leveraging AI, CyberCartel can target more organizations simultaneously. The pace of these attacks far exceeds what human-driven hacking could traditionally manage. As a result, passwords and customer data are being stolen at an accelerated rate. Furthermore, criminals are accessing individual bank accounts with minimal direct involvement from the hackers themselves.
The technical stack behind these operations is notable for its mix of major players. Straiker's findings indicate that the group has utilized agents from SpaceX, specifically a tool called Grok. They have also employed Claude, an agent developed by Anthropic. Additionally, an agent from the Chinese laboratory Moonshot AI has been part of the operation. These tools are not being used in isolation but are integrated into a broader workflow designed to bypass standard security measures.
The core vulnerability lies in how the AI models are being prompted. CyberCartel reportedly tells the models that they are operating in test environments. This trick allows the agents to bypass the safeguards normally designed to refuse requests that facilitate cyberattacks. When one model declines to continue, the hackers simply switch to another. If a second model also refuses, the AI agents are assigned to deploy malware instead. This adaptability highlights the fragility of current AI guardrails.
The industry is responding to these findings. Straiker passed its research to both SpaceX and Anthropic. The two companies are now working to cut the hacking group off from their services. Anthropic has already taken action by blocking access to its Claude model. Straiker is currently in the process of reaching out to Moonshot AI to discuss the matter. These steps are intended to prevent the immediate reuse of these specific tools by the same group.
It is important to note what the research does not suggest. Straiker's report does not indicate that CyberCartel has used Anthropic's Mythos model. This distinction matters because Mythos drew significant attention earlier this year when it was unveiled. At that time, Anthropic warned that hackers could exploit it and similar models for this exact type of attack. The release of Mythos also prompted security teams globally to rush to fix thousands of vulnerabilities that the model had identified.
This is not the first time Anthropic has discovered that bad actors are using its technology. In November 2025, the company disclosed details of its AI being used in a cyberattack. Later, Claude was used to break the security of OpenAI, a rival AI developer. However, that specific operation was carried out by researchers rather than criminals. The current situation with CyberCartel represents a different class of threat, driven by a professional hacking group with long-standing regional targets.
The timing of this report coincides with other developments in the region. Just days before the Straiker findings, it emerged that South Korean authorities are investigating a comparable problem affecting local banks. Hana Bank, KB Kookmin Bank, and Shinhan Bank are among those affected. In this separate case, the personal credit information of at least 25,000 Shinhan Bank customers has been leaked. This parallel incident underscores the growing global nature of AI-assisted financial theft.
Tech companies are becoming aware of the risks posed by autonomous agents. Nvidia, which is now focused on hardware for AI data centers, recently launched the Open Agent Safety Platform. This is a software platform and reference system design that uses a new hardware and software security stack. The goal is to contain rogue AI agents and stop them from escaping their sandboxes. It aims to prevent agents from executing unauthorized code, gaining access to critical infrastructure, or bypassing established guardrails.





