AntiMalware Software

Antimalware software implements multiple layers of malware detection techniques to safeguard your company’s sensitive data ranging from signature-based malware detection to behavior-based malware detection. Signature-based malware detection is done by taking a series of known software components along with their digital signatures and using them to identify malicious software. Signatures are used by software vendors to identify specific malicious software. This is the most common method of detecting malicious activities. Signature-based detection works by examining the entire network traffic and comparing it with known malware signatures so that whenever is match is made, malicious software can be identified. Behavior-based malware detection is used to identify malicious software by analyzing its behavior. Behavior-based malware detection can be enhanced by using machine learning algorithms. It is a powerful method of identifying malware that is more effective than signature-based detection. By leveraging behavior-based malware, security professionals can detect, block, and remove malware activity faster and more quickly. Signature-based malware detection is used to identify ‘known’ malware. However, newer versions of malware with newer codes cannot be recognized using signature-based methods. This is where behavior-based techniques come in the picture. The malware that has been newly released can only be identified from benign files by examining its behavior. Sandboxing is a feature used to filter and remove potentially dangerous files before they could damage the system. Sandboxing is used to isolate malicious files from the system. Let’s find out how this feature works. When a user gets an unknown email attachment, the sandbox first runs the file in a virtual setting where it only gains access to limited resources, for example, a temporary file or a virtual keyboard. The file will be blocked and terminated by the sandbox if it tries to gain access to other programs.