SecureAge APEX Engine
Threat Detection Powered by Artificial Intelligence
As more and more threats are mutating into advanced forms at an alarmingly rate, solely relying on traditional detection technologies that are designed to identify existing threats leaves endpoints very vulnerable to zero-day and mutated malware attacks.
The SecureAge APEX Engine harnesses the power of artificial intelligence (AI) with deep learning to take on the threats of today and tomorrow.
Leveraging on the power of big data, the APEX engine goes beyond traditional scanners by effectively and reliably spotting malicious patterns to efficiently allow for quick decisions based on prior experience. It can adaptively update its knowledge against newer and unseen malware variants that may attempt to infect endpoints during an outbreak
Two-pronged approach to detection |
APEX complements contemporary and traditional scanning technologies like the Universal A and the included or third-party offline AV engines to effectively cover known and unknown malware variants. |
Deep Learning technology |
Able to identify threats without using signature-based techniques, instead, relying on previously learned data to identify threats. |
Improvements via training |
Leveraging cloud technology to train with massive amounts of data ensures that the engine is updated with trained versions resulting in a smaller file footprint when compared to traditional virus signatures. |
Offline operation |
Trained and stored locally to allow it to operate without relying on an internet connection to be able to detect the latest threats. |
Compatible with other scanning technology |
Works alongside the Universal AV and/or other offline third-party AV engines. |
Support and feedback
Should you encounter any issues using SecureAPlus with any of the mentioned or missed requirements above, you can write to us a docs@secureage.com.
This page was last updated: May 15, 2024