Dive Head First into the Endpoint (Without Hitting Your Head) - Seguridad Mania.com - España y América Latina
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Estás en »Webinars
Martes 2 de Abr, 2019
Dive Head First into the Endpoint (Without Hitting Your Head): A DFLabs and Carbon Black Use Case The time it takes attackers to progress from initial infection to establishing multiple beachheads and beginning data exfiltration is often measured in minutes. Responding effectively under these adverse conditions requires complete network visibility, actionable intelligence and intelligent automation to augment human analysts. Carbon Black has long been recognized as the industry leader in endpoint detection and response, providing unmatched visibility into all endpoint activity. By incorporating actionable intelligence into their suite of tools, Carbon Black allows enterprises to respond effectively to both known and unknown threats. Carbon Black Defense brings Carbon Black’s extensive Endpoint Detection and Response (EDR) experience together with their cutting-edge next-generation antivirus technology to provide protection against even the most advanced threats. However, when a network event, such as a Web Application Firewall (WAF) or Intrusion Detection System (IDS) alert is the impetus for an alert, correlating endpoint data and identifying and containing the threat is largely a manual process. This allows attackers enough time to begin wreaking havoc on the network. In this webinar we will explore DFLabs’ Security Orchestration, Automation and Response (SOAR) solution, IncMan SOAR, and Carbon Black Defense, to show how these industry-leading solutions can work seamlessly together to automatically pivot from the network into the endpoint, automatically identifying and containing unknown threats to immediately reduce the risk to the enterprise. Learn how: - Carbon Black’s suite of products can improve your security infrastructure - IncMan SOAR’s automation and orchestration capabilities can increase the efficiency and effectiveness of your security program - Carbon Black and DFLabs together can reduce incident detection and response times
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