Gartner defines an endpoint protection platform (EPP) as security software designed to protect managed endpoints — including desktop PCs, laptop PCs, mobile devices and, in some cases, server endpoints — against known and unknown malicious attacks. EPPs provide capabilities for security teams to investigate and remediate incidents that evade prevention controls. EPP products are delivered as software agents, deployed to endpoints, and connected to centralized security analytics and management consoles. EPPs provide a defensive security control to protect end-user endpoints against known and unknown malware infections using a combination of security techniques (such as static and behavioral analysis) and system controls (such as device control and host firewall management). EPP prevention and protection capabilities are deployed as a part of a defense-in-depth strategy to help reduce the attack surface and minimize the risk of endpoint compromise. EPP detection and response capabilities are used to uncover, investigate, and respond to endpoint threats that evade security prevention, often as a part of broader security operations platforms.
Gartner defines the network firewall market as the market for firewalls that use bidirectional stateful traffic inspection (for both egress and ingress) to secure networks. Network firewalls are enforced through hardware, virtual appliances and cloud-native controls. Network firewalls are used to secure networks. These can be on-premises, hybrid (on-premises and cloud), public cloud or private cloud networks. Network firewall products support different deployment use cases, such as for perimeters, midsize enterprises, data centers, clouds, cloud-native and distributed offices.
Network-based sandboxing is a proven technique for detecting malware and targeted attacks. Network sandboxes monitor network traffic for suspicious objects and automatically submit them to the sandbox environment, where they are analyzed and assigned malware probability scores and severity ratings. Sandboxing technology has been used for years by malware researchers at security companies and even in some large enterprises that are highly security conscious. Traditionally, using a sandbox has been an intensive effort requiring advanced skills. The malware researcher manually submits a suspicious object into the sandbox and analyzes it before flagging it as malware or not. By adding automated features to sandboxing technology (automatically submitting suspicious objects and automatically generating alerts).
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