400 Financial Institutions Breached by AI-Driven Hacking Ring
A long-standing cybercriminal group automated its attacks using major AI agents to steal data from Latin American banks and payment apps at an unprecedented rate.
By Emily Carter ·

The rapid integration of artificial intelligence into cybercrime has reached a critical milestone, with a prominent hacking syndicate successfully automating large-scale breaches across the region's financial sector. This shift marks a significant evolution in how digital threats are executed, moving from manual labor to machine-speed operations.
Research conducted by cybersecurity startup Straiker reveals that CyberCartel, a group active since 2012, has leveraged AI agents from major technology firms to target over 400 institutions in Latin America. The scope of the compromise includes major banks and mobile payment applications, resulting in the theft of passwords and customer data. In several cases, the group also gained direct access to individual bank accounts, often with minimal human intervention required to sustain the attack.
The primary drivers of this operational leap are the automation capabilities of specific large language models. Straiker’s findings indicate that the group utilized Anthropic’s Claude and SpaceX’s Grok to streamline the process of identifying and exploiting vulnerabilities. By delegating routine tasks to these AI agents, CyberCartel was able to attack businesses at a speed that human-only teams previously could not achieve, effectively scaling their threat footprint in recent months.
A key factor in the success of these attacks was the hackers' ability to bypass standard safety protocols. Although AI models are designed with guardrails to prevent misuse in cyberattacks, the group reportedly instructed the models that they were operating within test environments. When one model refused to proceed, the attackers switched to another. If a second model also hesitated, the agents were tasked with deploying malware directly, allowing the intrusion to continue despite initial safety checks.
Both SpaceX and Anthropic have been informed of the findings and are working to restrict the group's access to their respective services. Anthropic has already implemented blocks to prevent CyberCartel from utilizing Claude, while SpaceX is in the process of locking the group out of Grok. Straiker is also attempting to contact Moonshot AI, whose agents were reportedly used in the campaign, though the Chinese lab has not yet responded to outreach efforts.
Notably, the recent attacks did not appear to involve Anthropic’s newer Mythos model. This model had generated significant attention earlier in the year when the company warned that it could be used for sophisticated attacks and revealed that it had identified thousands of global security vulnerabilities. This incident follows a pattern of AI models being exploited by external parties; in November 2025, Anthropic disclosed that its AI was used in a cyberattack, and later, Claude was used by researchers to breach the security systems of rival OpenAI.
The timing of these findings coincides with similar investigations in South Korea, where authorities are examining AI-related security issues affecting local banks. Institutions including Hana Bank, KB Kookmin Bank, and Shinhan Bank have been impacted, with at least 25,000 Shinhan Bank customers experiencing leaks of personal credit information. This parallel suggests that the risk of AI-mediated financial breaches is a global phenomenon rather than a regional anomaly.
In response to these emerging threats, technology leaders are beginning to formalize security standards for autonomous agents. Nvidia recently launched the Open Agent Safety Platform, a hardware and software stack designed to secure rogue AI agents. The system aims to prevent agents from escaping their designated sandboxes, executing unauthorized code, or bypassing guardrails, offering a potential defense mechanism against the type of automated threats currently plaguing Latin American financial institutions.
Source: Tom's Hardware





