VirusTotal Adds Cynet's Artificial Intelligence-Based Malware Detection
Malicious software is any software or code: personal information, data from the computer system, computer activity, or malicious computer purposes on the computer system without computer users' permission. We can call as the shortest abbreviation for malicious software Malware.
The impact of malware is getting worse every day. Malware is diverse in volume and type, but it also severely explodes the effectiveness of traditional defense methods, such as the signature approach, where new defensive malware cannot be detected. However, this vulnerability can lead to a successful computer system infiltration (attack) and advanced attacks such as distributed service denial (DDoS) attacks.
Malware is always a threat to the digital world. With the rapid increase in internet usage, the impact of malware can be severe and ignored. Malware detectors are created, and the effectiveness of these detectors depends on the technology that is being used.
Today we are discussing Malware detection based on Artificial Intelligence. VirusTotal, Google's popular multi-virus antivirus scanning service, recently announced the addition of new threat detection capabilities with the help of an Israeli cybersecurity firm. VirusTotal provides a free native online service that analyses suspicious files and URLs for malware detection and automatically shares them with the security community. With the influx of new malware types and samples, researchers rely on the rapid discovery and sharing of virus totals to keep their companies safe from attacks. It protects against attack vectors that involve files, hosts, users, and networks and get immediate insight into all critical components.
VirusTotal relies on a continuous stream of new malware detections to protect members from significant damage.
Cynet, the Autonomy Violence Protection Platform, has now integrated its Cynet detection engine into VirusTotal. The benefits of this partnership are twofold. First, Cynet provides VirusTotal Partner Network Cutting Edge Threat Intelligence from ML-based Detection Engine (CyAI), which actively protects the company's clients worldwide.
CyAI is a continuous learning and emerging discovery paradigm that regularly contributes information about new threats not available in the virus. Although many vendors use AI / ML models, the ability of models to detect new threats varies greatly.
Cynet frequently overlooks third-party and open source discovery platforms, and it often relies on incident response cases when primary threats are hidden from other solutions.
Contributing information to these newly discovered files helps our entire industry perform better and protect businesses from cyber-attacks.
Also, Cynet will utilize VirusTotal's intelligence to inform its CyAI model to improve its detection capabilities and accuracy continually. Cynet's AI is continuously evolving, constantly learning new datasets to improve its accuracy and reduce its already low false-positive ratio. Comparing files that CyAI detected as malicious to files that were found to be malicious by other providers can quickly validate Cynet's findings.
However, malware detection is one of the biggest problems in the computer security field, as current communications infrastructures can penetrate a variety of malware infection strategies and attacks. Data mining methods can be used to overcome the limitations of signature-based technologies for detecting zero-day malware.