VirusTotal Adds Cynet’s Artificial Intelligence-Based Malware Detection

VirusTotal, the famous multi-antivirus scanning service owned by Google, recently announced new threat detection capabilities it added with the help of an Israeli cybersecurity firm.

VirusTotal provides a free online service that analyzes suspicious files and URLs to detect malware and automatically shares them with the security community. With the onslaught of new malware types and samples, researchers rely on the rapid discovery and sharing provided by VirusTotal to keep their companies safe from attacks.

VirusTotal relies on a continuous stream of new malware discoveries to protect its members from significant damage.

Cynet, the creator of the autonomous breach protection platform, has now integrated its Cynet Detection Engine into VirusTotal.

The benefits of this partnership are twofold. First, Cynet provides the VirusTotal partner network cutting-edge threat intelligence from its ML-based detection engine (CyAI) that actively protects the company's clients around the globe.

CyAI is a continuously learning and evolving detection model that routinely contributes information about new threats that are not available in VirusTotal. Although many vendors are using AI/ML models, the ability of the models to detect new threats vary greatly.

Cynet routinely outperforms third party and open source detection platforms and is frequently relied upon in incident response cases when underlying threats remain hidden from other solutions.

For example, Cynet recently conducted an Incident Response engagement for a large telecom provider. Cynet discovered several malicious files that did not appear in the VirusTotal database.

Contributing information on these newly discovered files helps our entire industry perform better and protect businesses against cyber-attacks.

Second, Cynet will leverage intelligence in VirusTotal to inform its CyAI model in order to continuously improve its detection capabilities and accuracy.

Cynet AI is continually evolving, constantly learning new datasets in order to improve its accuracy and decrease its already-low false positive ratio. Comparing files found to be malicious by CyAI against files also found to be malicious by other providers helps to quickly validate Cynet's findings.

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