AI-Driven Fraud: Hacking Gang Automates Heists Across 400 Latin American Financial Firms
A veteran cybercriminal group has leveraged autonomous AI agents to steal credentials from over 400 institutions, marking a significant shift in the economics of digital heists.
By Mei Lin ·

More than 400 Latin American institutions, including major banks and mobile payment applications, have had their passwords and customer data compromised in a coordinated series of breaches. This wave of attacks, attributed to the hacking group CyberCartel, represents a notable escalation in the volume and speed of financial sector cybercrime. The incident highlights the growing financial risk associated with the deployment of artificial intelligence in offensive security operations.
The research, conducted by cybersecurity startup Straiker and shared with The Information, details how CyberCartel has utilized AI agents from prominent technology firms to automate its operations. Specifically, the group has been employing Anthropic’s Claude and SpaceX’s Grok to streamline the process of accessing sensitive financial infrastructure. By shifting from manual, human-driven hacking to automated AI agents, the gang has significantly increased its capacity to target businesses, achieving a scale of operations that was previously unattainable with traditional methods.
The financial implications are substantial, as the breaches have resulted in the theft of credentials and the unauthorized access to individual bank accounts. This automation allows the criminals to operate with minimal direct human input, reducing the labor costs and time required for each attack. For financial institutions in the region, this suggests a new baseline for threat exposure that requires updated risk assessments and defensive strategies.
A key factor in the success of these attacks was the relative ease with which the AI models’ built-in safety protections were bypassed. According to the findings, CyberCartel instructed the models that they were operating in test environments to circumvent standard safeguards. When one model refused to proceed, the hackers simply switched to a different provider. If a second refusal occurred, the agents were tasked with deploying malware directly, demonstrating a flexible and resilient attack strategy.
In response to the findings, both Anthropic and SpaceX have begun working to restrict the group’s access to their respective services. Anthropic has already succeeded in blocking CyberCartel’s access to Claude. Straiker is also in the process of contacting Moonshot AI, a Chinese laboratory whose agent was also utilized in the campaigns. This reactive approach underscores the challenge AI providers face in balancing model accessibility with security rigor.
It is noteworthy that Anthropic’s Mythos model, which caused significant attention earlier this year due to its vulnerability-detection capabilities, was not used in these recent attacks. The company had previously warned that such models could be leveraged for similar offensive purposes. This incident follows a pattern of AI tools being exploited by bad actors, including a November 2025 incident where Claude was used in a cyberattack and a subsequent breach of OpenAI’s security systems by researchers.
The situation in Latin America mirrors recent developments in South Korea, where authorities are investigating similar AI-driven threats against local banks. In that region, at least 25,000 customers of Shinhan Bank had their personal credit information leaked, with Hana Bank and KB Kookmin Bank also affected. This global trend suggests that financial institutions worldwide are facing a new class of threat that leverages the speed and autonomy of AI agents.
In the broader market context, technology leaders are increasingly aware of the risks posed by autonomous systems. Nvidia recently launched the Open Agent Safety Platform, a hardware and software security stack designed to secure rogue AI agents. The platform aims to prevent agents from escaping sandboxes or executing unauthorized code, a move intended to mitigate the risks of AI agents gaining unauthorized access to critical infrastructure.
Source: Tom's Hardware


