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Source AlienVault.webp AlienVault Blog
Identifiant 1326216
Date de publication 2019-09-13 20:18:00 (vue: 2019-09-14 00:07:08)
Titre Defining the “R” in Managed Detection and Response (MDR)
Texte This spring, as the product and security operations teams at AT&T Cybersecurity prepared for the launch of our Managed Threat Detection and Response service, it became obvious to us that the market has many different understandings of what “response” could (and should) mean when evaluating an MDR solution. Customers typically want to know: What incident response capabilities does the underlying technology platform enable? How does the provider’s Security Operations Center team (SOC) use these capabilities to perform incident response, and, more importantly, how and when does the SOC team involve the customer's in-house security resources appropriately? Finally, how do these activities affect the return on investment expected from purchasing the service? However, in our review of the marketing literature of other MDR services, we saw a gap. All too often, providers do not provide sufficient detail and depth within their materials to help customers understand and contextualize this crucial component of their offering. Now that we’ve introduced our own MDR solution, we wanted to take a step back and provide our definition of “response” for AT&T Managed Threat Detection and Response. Luckily, Gartner provides an excellent framework to help us organize our walk-through. When evaluating an MDR service, a potential customer should be able to quickly understand how SOC analysts, in well-defined collaboration with a customer’s security teams, will: Validate potential incidents Assemble the appropriate context Investigate as much as is feasible about the scope and severity given the information and tools available Provide actionable advice and context about the threat Initiate actions to remotely disrupt and contain threats *Source: Gartner Market Guide for Managed Detection and Response Services, Gartner. June 2018. Validation, context building, and Investigation (Steps 1-3)  It’s worth noting that “response” starts as soon as an analyst detects a potential threat in a customer’s environment. It stands to reason then that the quality of threat intelligence used by a security team directly impacts the effectiveness of incident response operations. The less time analysts spend  verifying defenses are up to date, chasing false positives, researching a specific threat, looking for additional details within a customer's environment(s), etc., the quicker they can move onto the next stage of the incident response lifecycle. AT&T Managed Threat Detection and Response is fueled with continuously updated threat intelligence from AT&T Alien Labs, the threat intelligence unit of AT&T Cybersecurity. AT&T Alien Labs includes a global team of threat researchers and data scientists who, combined with proprietary technology in analytics and machine learning, analyze one of the largest and most diverse collections of threat data in the world. This team has unrivaled visibility into the AT&T IP backbone, global USM sensor network, Open Threat Exchange (OTX), and other sources, allowing them to have a deep understanding of the latest tactics, techniques and procedures of our adversaries. Every day, they produce timely threat intelligence that is integrated directly into the USM platform in the form of correlation rules and behavioral detections to automate threat detection. These updates enable  our customers’ to detect emergent and evolving threats by raising alarms for analyzed activity within public cloud environments, on-premises networks, and endpoints. Every alarm is aut
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