Using machine learning and behavior analysis allows Malwarebytes to detect the most advanced, new and evolving threats with unknown signatures. This multi-layered detection compares endpoint activity to a baseline of “normal” behavior to identify anomalies. It compares endpoint activity to attributes of known malware and attacks to identify potential threats.īehavior and AI-based detection includes three layers: Machine learning, behavior analysis and exploit mitigation. Rules-based detection uses signatures and heuristics to detect malware. The biggest differentiating feature for Malwarebytes Endpoint Protection is the Multi-Vector approach to security. It’s delivered through a single, unified endpoint agent.
Malwarebytes Endpoint Protection is available as both an on-premises or cloud-based solution. These types of detection can identify both known and new, more advanced threats. The two main groups of layers of detection include rules-based detection and behavior/ artificial intelligence (AI) methods. It integrates multiple players of protection for both static and dynamic detection techniques to protect against threats across the entire attack chain. However, it has since expanded to act as a much more comprehensive security solution.Įndpoint Protection uses a Multi-Vector approach to security. Malwarebytes began as a product dedicated solely to protecting against malware when it was founded in 2008 in Santa Clara, CA. Malwarebytes provides complete endpoint protection against malware and other attacks using a combination of detection, proactive threat blocking and remediation capabilities. Each one presents a potential vulnerability that could move laterally and infect an entire network, which makes protecting each and every endpoint vital for large organizations that support large amounts of devices.
Endpoints are one of the most common means of access for malicious attackers. Malwarebytes Endpoint Protection is an endpoint security solution built to protect against advanced threats.
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