To protect users, Avast detects and immediately reports any suspicious files or behavior. Our state-of-the-art infrastructure and access to immense volumes of security data gathered from hundreds of millions of devices around the globe, gives us the largest, most advanced zero-day threat-detection network on the planet.
How do we protect hundreds of millions of people every day? Our cutting-edge technology transforms our users into a worldwide network of cooperating sensors. If any one of them encounters malware, Avast uses six layers of protection to identify, block and inform the entire network in a matter of seconds.
When malware targets a user’s device, we use six layers of deep protection, powered by our unique cloud-based analytics and machine-learning techniques, to keep them safe. Below are more details on how these protective layers defend you and your devices from cyberthreats.
We combine virtualization of suspicious applications and deep instrumentation to see at the high level, as well as at an instruction level, what the examined program is trying to do. Based on an observed behavior model using machine learning algorithms, we are able to identify similarities with known malware families. By peeling off layer by layer with deep dynamic introspection, the generic unpacker component is able to unveil known malware samples that could be hidden in heavily obfuscated and encrypted ones. During this process, our cloud engine utilizes threat intelligence gathered from our entire user base to assess all software samples.
We continuously monitor security issues to protect our hundreds of millions of users from emerging threats. To get the latest product features first, and hear about threats from Avast’s Threat Labs experts visit the Avast blog.