Advanced Machine Learning<\/p>\n
Sophisticated mathematical algorithms and deep learning methods deliver lightning fast threat detection against new, emerging and advanced threats. Multiple learning layers analyze malware properties to identify malicious code and apply the learning to similar code, all without requiring virus updates. This ensures that zero-day threats are identified and nullified as soon as they emerge keeping you safe from advanced types of malware.<\/p>\n
Antivirus<\/p>\n
BullGuard Antivirus provides powerful layered protection against all types of malware such as phishing attempts or trojans designed to steal banking information. It makes short work of ransomware and quickly identifies and nullifies new, advanced threats.<\/p>\n
Next-Gen Antimalware<\/p>\n
Our next-gen antimalware gives you intelligent triple layer protection. It recognises trusted sites and applications, it continually scans for code associated with malware and any malware that is detected is locked down, quarantined and neutralized. \u00a0Furthermore, sophisticated behavioural detection receives continuous daily updates about the latest malware to detect and block threats.<\/p>\n
Game Booster<\/p>\n
BullGuard\u2019s award-winning Game Booster allows you to game in complete safety so you don\u2019t have to sacrifice security for performance. In fact, it has been proven to actually speed games up. It blocks pop-ups and other annoying interruptions to ensure you always have blisteringly fast, uninterrupted gaming.<\/p>\n
Vulnerability Scanner<\/p>\n
Prevents applications that might contain malware from automatically downloading and checks the authenticity of applications and drivers by verifying their digital signatures. It alerts you to missing security updates and warns you if you\u2019ve connected an unsafe Wi-Fi network. An elegantly simple interface enables you to spot security issues at-a-glance which can be directly addressed from the interface such as applying Windows updates.<\/p>\n","protected":false},"excerpt":{"rendered":"