A financial institution can invest millions of dollars in protecting its data center and its cloud perimeter, but it often overlooks a critical reality: it has thousands of computers physically exposed on the street.
ATMs are the direct bridge between the customer and the financial core. This physical exposure turns them into a high-risk target that requires completely different cybersecurity rules than those of a corporate office.
Protecting an ATM with the same security software installed on an employee's laptop is a serious strategic mistake.
In a corporate environment, security focuses on blocking network attacks or phishing. In an ATM, the threat is physical. An attacker with access to the interior of the cabinet does not need to breach a firewall; they only need to connect an unauthorized peripheral device, such as a malicious USB drive or a modified keyboard (Black Box), to execute code or extract information from the hard drive.
In this scenario, traditional antivirus (which relies on known signatures) becomes obsolete and ineffective. Furthermore, since the vast majority of ATMs operate on legacy systems, traditional update cycles pose an immense operational risk that threatens to disrupt customer service.
To truly protect an ATM infrastructure, the financial sector must abandon reactive detection models and adopt a restrictive, behavior-based approach.
The premise is simple yet powerful: if the connected hardware is not the original, the system must immediately block it and isolate itself.
But how do you implement hardware control at a granular level across a network of thousands of devices from multiple brands and models without halting the bank's daily operations?
Recently, our team of experts guided one of the largest financial institutions in Latin America through this exact challenge.
In our latest case study, we detail how we successfully protected a network of over 6,000 ATMs, transforming a vulnerable environment into an infrastructure that is 100% resilient against physical and logical penetration testing.
In this case study, you will discover:
The security of your transactional network can no longer depend on generic tools that only react after the damage has already been done.
Every minute an ATM operates with obsolete defenses is a window of opportunity for advanced physical attacks that put your reputation and capital at risk. It is time to shift from a reactive model to one of absolute control.
Download our complete case study and discover the technical roadmap that will allow you to secure your institution's most critical physical infrastructure, isolating threats in minutes and ensuring total business continuity.
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