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.

As the volume of sensitive and mission-critical data grows, government networks continue to be prime targets for sophisticated cyberattacks. Protecting this information is key, but agencies must also keep a close eye on the weakest link in their network — the endpoint. As breaches become more sophisticated and unknown threats bypass traditional detection-based methods, attack mechanisms are lying dormant on agency endpoints for months before being detected.

Last month, an international hacking group announced that it had breached three top US-based antivirus software vendors. Ars Technica reported that the “Fxmsp collective” offered convincing evidence of the breach and was “actively marketing” source code and network access. Is anyone surprised?

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  • Cylance takes a multi-layered “detect & react” approach, whereas AppGuard uses a patented, lightweight endpoint Zero-Trust approach
  • AppGuard blocks known and unknown attacks that Cylance cannot
  • AppGuard is simpler and requires far less effort to deploy, maintain, and operate

  • Trend Micro takes a multi-layered “detect & react” approach, whereas AppGuard uses a patented, lightweight endpoint Zero-Trust approach
  • AppGuard blocks known and unknown attacks that Trend Micro cannot
  • AppGuard is simpler and requires far less effort to deploy, maintain, and operate

  • AppGuard’s zero trust is like no other vendor’s endpoint protection
  • AppGuard is simpler and requires far less effort to deploy, maintain, and operate
  • FireEye provides IT/Sec-Ops personnel with vast amounts of data to defend the enterprise
  • FireEye increases demand for more personnel, higher skills throughout a cyber program; AppGuard frees them to do other work

  • AppGuard’s zero trust is like no other vendor’s endpoint protection
  • AppGuard is simpler and requires far less effort to deploy, maintain, and operate
  • Carbon Black provides IT/Sec-Ops personnel with vast amounts of data to defend the enterprise
  • Carbon Black increases demand for more personnel, higher skills throughout a cyber program; AppGuard frees them to do other work

Automated Teller Machine (ATM) systems are projected to grow from $2 million to over $4 million worldwide by 2020. This increases the risk of banks and financial institutions suffering financial and reputation damage from sophisticated cybersecurity threats.

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The attack landscape has changed, traditional antivirus type solutions alone no longer offer adequate protection. AppGuard empowers customers with a powerful cybersecurity solution by delivering comprehensive prevention, detection capabilities at endpoint to prevent zero-day attacks.

Cybersecurity costs are rising each year, along with breach volume. Detect-and-react strategies are becoming more complex and costly, all while failing to stem the tide. Is there a better way to identify the true cost of cybersecurity and mitigate risks more effectively?