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This effortless deployment delivers immediate results and requires no changes to the network infrastructure and workflows. \r\n<b><i>Automated Threat Hunting</i></b>\r\nSecBI’s Autonomous Investigation technology enables analysts hunt for threats more efficiently and gain insights into what’s happening in their environment. SecBI’s analytics combine unsupervised, supervised, and adaptive machine learning with statistical techniques to build comprehensive behavioral profiles. Analytics are integrated with high-fidelity, layered forensics ranging from rich metadata to support user or incident investigations to raw data enabling security analysts to test hypotheses. A big data-based architecture enables SecBI to scale easily, economically extending the hunting window to months and years as needed. \r\n<b><i>Incident Respond</i></b>\r\nSecBI’s Autonomous Investigation technology enables analysts to prioritize and investigate incidents more efficiently. SecBI leverages network traffic and security data, combined with threat intelligence, to provide unmatched visibility. The SecBI solution helps analysts of all experience levels achieve their goals more efficiently in any incident investigation and response scenario. Specifically, this means it supports analysts to place the right context on the alerts, investigate the high priority alerts within the relevant context, and consequently minimize the risk to their organization. \r\n<b><i>Forensic Analysis</i></b>\r\nThe process of Incident Forensics (Post-Mortem) is critical in understanding what has happened during an incident. Whether the forensic information is gathered for regulatory or legal purposes, or for an internal understanding of the incident scope and impact, there are two critical parameters in a good forensic process: Time and Comprehensiveness. With SecBI’s simple and rapid deployment of a virtual software appliance, it takes only one hour to start the forensic process on any environment and get the full scope of the incident. SecBI’s machine learning analyzes and clusters all related forensic evidence, including infected devices, and their users, malicious C&C servers, compromised infection points, and the drop-point with which they communicated. Manually searching for forensic evidence, comparing multiple devices activities, writing complex queries to get the full story, is inefficient and ineffective. 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This global community effort plays a substantial role in maintaining the security of enterprises around the world.\r\nEnterprises that implement advanced threat protection are better able to detect threats early and more quickly formulate a response to minimize damage and recover should an attack occur. A good security provider will focus on the lifecycle of an attack and manage threats in real-time. ATP providers notify the enterprise of attacks that have occurred, the severity of the attack, and the response that was initiated to stop the threat in its tracks or minimize data loss. 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