CyberCartel Automates Financial Heists With Rogue AI Agents
A decade-old hacking crew is leveraging large language models to breach Latin American banks at a speed that human teams cannot match.
By Owen Turner ·

The hacking collective known as CyberCartel is now deploying artificial intelligence agents to automate its raids on financial institutions across Latin America. This strategic shift marks a significant escalation in the group's long-running campaign, which has targeted businesses in the region since at least 2012. According to new research from the cybersecurity startup Straiker, the integration of AI has dramatically expanded the group's operational reach. The findings were recently detailed by The Information.
The use of automated agents allows the cybercriminals to strike more organizations simultaneously. This pace of attack far exceeds what a purely human-driven operation could achieve. In recent months, the group has successfully stolen passwords and customer data. They have also gained access to individual bank accounts with minimal direct intervention from the hackers themselves. This efficiency represents a major threat to the financial sector's traditional defenses.
Straiker’s investigation identified specific tools used in these operations. The group utilized agents from SpaceX, specifically the Grok model. They also employed Claude, an agent developed by Anthropic. Additionally, an agent from the Chinese laboratory Moonshot AI was part of the toolkit. Straiker shared its findings with both SpaceX and Anthropic. Both companies are currently working to sever the group’s access to their respective services. Anthropic has already implemented a block on the group's use of Claude. Straiker is still in the process of contacting Moonshot AI to address the issue.
The incident highlights the fragility of safety measures embedded within AI models. These systems are typically programmed to reject requests that appear to support cyberattacks. However, CyberCartel reportedly bypassed these safeguards by claiming the models were operating in test environments. When one model refused to proceed, the hackers simply switched to a different agent. If that second model also declined, the AI agents were reassigned to deploy malware instead.
The Straiker report clarifies that the group did not use Anthropic’s Mythos model in this specific campaign. Anthropic drew significant attention earlier this year when it revealed Mythos. The company warned that hackers could exploit this model and similar tools for precisely this type of attack. The release of Mythos also prompted security teams worldwide to rush in and fix thousands of vulnerabilities that the model had identified.
This is not the first time Anthropic has discovered that malicious actors are utilizing its technology. In November 2025, the company disclosed details regarding its AI being used in a cyberattack. Later, Claude was employed to break the security systems of OpenAI, a rival AI developer. However, that particular operation was carried out by researchers rather than criminal groups. The current case demonstrates that the threat now extends to organized criminal enterprises.
The Straiker report arrives just days after reports surfaced regarding a similar issue affecting banks in South Korea. South Korean authorities are currently investigating the matter. Hana Bank, KB Kookmin Bank, and Shinhan Bank are among the institutions affected. Personal credit information belonging to at least 25,000 Shinhan Bank customers has been leaked in this separate incident.
Industry leaders are increasingly aware of the risks posed by autonomous AI agents. Nvidia, which is now focused on hardware for AI data centers, recently launched the Open Agent Safety Platform. This software platform and reference system design utilizes a new hardware and software security stack. The goal is to contain rogue AI agents. The system is intended to prevent agents from escaping their sandboxes, executing unauthorized code, or gaining access to critical infrastructure. It also aims to stop them from bypassing established guardrails.
Source: Tom's Hardware





