Financial services organizations are increasingly high-value targets of malware-based cyberattacks. Bank ATMs and other endpoints are particularly vulnerable to malware, which can threaten and expose sensitive customer data, and cause untold financial and reputational damage. With new and advanced threats such as fileless code, memory-based attacks, and stolen signing certificates, financial organizations are at risk more than ever from increasingly sophisticated, targeted, and undetectable attacks.
How have things escalated to this point? Much of the problem stems from the fact that traditional antivirus, machine learning, and artificial intelligence learning solutions can’t stop an attack. Instead, they attempt to detect or contain a compromise that has already occurred, then attempt to respond quickly enough to limit its effects. But as recent headlines have shown, these attacks are going unnoticed for weeks and, in some cases, even months.