VoodooShield has been using machine learning solutions since 2015. Utilizing a variety of techniques including machine learning, VoodooShield detects malware in real-time and provides the end-user file insights so they can make an informed decision on whether to allow or block files. The transition to zero-trust is not an easy one. Therefore, it's important to have dynamic security postures that act based on the threat level context not only blocking threats but also auto-allowing what needs to be allowed. Conversely, operating at a low threat level increases the likelihood of a breach occurring. Although high levels of protection can help minimize the risk of a breach, they add friction and interruptions to existing workflows.
In most cases, constantly operating at a high threat level is inconvenient and costly. The degree of protection applied to a system or endpoint is highly dependent on the threat level. Organizations can no longer rely solely on traditional allow-by-default cybersecurity products and need to move towards a zero-trust security posture. Using a combination of dynamic security postures, an antimalware contextual engine, an advanced file reputation service (WhitelistCloud), and machine learning enabled static feature analysis, VoodooShield automatically locks your computer when it is at risk. It's designed to complement traditional and next-gen antivirus software, including Microsoft Defender. VoodooShield is a tangible toggling computer lock in cybersecurity that offers a multitude of highly advanced features not found in traditional application allowlisting products.
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