Malware Detection
What is malware detection? How does malware detection work in cybersecurity?
Malware detection refers to a cybersecurity solution’s ability to recognize malware threats and malicious files before they infect your computer or system. Security Operations Center (SOC) teams are drowning in a sea of alerts, exacerbated by an increasing rate of false positives and the sheer volume of threats that must be triaged. As modern IT environments grow more complex, alerts are increasingly difficult to manage and maintain. A main reason for the influx of false alerts can be traced to the fact that events aren’t being classified or prioritized fast enough to make decisions. Misclassification, or no classification, of an alert leads to incorrect filtering, dumping thousands of files into your EDR to parse on the endpoint, your SIEM, or another analytics tool for the SOC to review.
Immediate classification of malware is not easy. It requires extensive knowledge of the threat environment, and to be effective, must be automated to make it lightning fast. Applying deep learning to cybersecurity has provided the opportunity to detect and prevent malware threats pre-execution and enabled automated, real-time malware classification.
Why is early malware detection important?
Organizations need to prevent more threats prior to their execution and subsequent infection of the environment. This requires a full understanding of the potential threat hidden in every file or script. Early classification is the key to succeeding in this endeavor. Deep Instinct’s speed and accuracy in classifying threats is made possible by our Deep Neural Network (DNN) brain that is trained on hundreds of millions of training samples - both malicious and benign. The outcome of the training is a lightweight module that is distributed in a software agent across endpoints, servers, and mobile devices. The module can also be provided as an SDK for third-party integrations.
How does Deep Instinct help with malware detection?
Deep Instinct’s deep learning-based solutions prevent malicious files from being written to disk or running in-memory, providing additional threat intelligence by classifying what type of malware is targeting your organization.
Deep Instinct’s deep classification examines the entirety of a file, not just the bits and bytes, and breaks down the binary into parts (see image below). This breakdown enables Deep Instinct to easily determine the level of threat a PUA poses and prevent it before infection can take place.
