Four Ways XDR Optimizes Your Security Stack
An AI-driven XDR solution enables organizations to embrace an operation-centric approach that delivers the visibility required to be confident they can halt attack progressions at the earliest stages...
Anthony M. Freed
Getting in front of a threat by adopting a prevention-first strategy for early detection will allow organizations to stop disruptive attacks before they can cause damage. Preventing attacks from being successful is not just possible, it is much more cost-effective than remediation after the fact– you just need the right tools.
To stay ahead of today’s advanced threats, organizations are adopting Extended Detection and Response (XDR) solutions powered by Artificial Intelligence (AI) and Machine Learning (ML) that allow them not only automate detection and remediation of cyberattacks at scale, but also to detect a ransomware at the earliest stages of attack. So, what is XDR?
XDR is a proactive security approach that analyzes telemetry across multiple security layers—email, server, cloud, endpoint, network and identity–and then correlates that data to make one unified security assessment that takes in the whole ecosystem into account.
XDR automates event correlations across multiple security layers so what you get is a security view in-context, instead of a siloed view of just one element of an attack progression. By doing this, XDR combines intelligence from disparate assets and makes a complex security stack easier to action upon for security teams for increased efficacy and efficiency.
To adopt a proactive approach to security and defend against those “never before seen” threats and disrupt them earlier in the attack sequence, it is essential to understand and respond faster to attacks. XDR solutions provide the necessary features to do so.
XDR solutions expand on Endpoint Detection and Response (EDR) strategies, but go beyond the endpoint to provide visibility into the cloud, across your network, application suites, user identities and more. With XDR, you aren’t just getting a flood of uncorrelated alerts looking at tiny snapshots of a malicious operation at a particular point in time.
XDR delivers a holistic view of the entire attack chain across all impacted assets so precious time is not lost to endless triage and investigation cycles, a good portion of which end up being false positives.
So, you have a lot of visibility into your network and you know it because you have a ton of security alerts coming in–great, but that’s almost worse than having none if they lack the context and correlations required to really understand the scope of an attack.
An XDR solution will make sense of the flood of uncorrelated alerts and provide context and color from the additional telemetry sources associated with the detections, “[automating] root cause analysis to show a clear timeline and path of a threat.” This allows analysts to see the entirety of the malicious operation, or MalOp™, and turn all that “alert data” into actionable intelligence.
Having full visibility across the entire MalOp allows security operations to move from a reactive alert-centric posture to a proactive operation-centric approach that automatically anticipates and blocks an attacker’s next likely move. With predictive response capabilities, an XDR solution reduces Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR), reducing attacker dwell time from months to minutes.
An AI-driven XDR solution enables organizations to embrace an operation-centric approach to security that delivers the visibility required to be confident in their security posture across all network assets and the automated responses required to halt attack progressions at the earliest stages.
Here’s (just) four good reasons to implement an AI-driven XDR solution today:
In addition, an AI-driven XDR solution should provide Defenders with the ability to predict, detect and respond to cyberattacks across the entire enterprise, including endpoints, networks, identities, cloud, application workspaces, and more.
Cybereason is dedicated to teaming with Defenders to end attacks on the endpoint, across enterprise, to everywhere the battle is taking place. Learn more about AI-driven Cybereason XDR here or schedule a demo today to learn how your organization can benefit from an operation-centric approach to security.
Anthony M. Freed is the Senior Director of Corporate Communications for Cybereason and was formerly a security journalist who authored feature articles, interviews and investigative reports which have been sourced and cited by dozens of major media outlets. Anthony also previously worked as a consultant to senior members of product development, secondary and capital markets from the largest financial institutions in the country, and he had a front row seat to the bursting of the credit bubble.
All Posts by Anthony M. FreedAn AI-driven XDR solution enables organizations to embrace an operation-centric approach that delivers the visibility required to be confident they can halt attack progressions at the earliest stages...
XDR provides security teams with comprehensive visibility across the kill chain, all without requiring security analysts and incident response teams to manually investigate a flood of individual alerts. XDR allows security trams to move detection further to the left in the kill chain to reduce dwell time and disrupt attacks earlier in the attack sequence...
An AI-driven XDR solution enables organizations to embrace an operation-centric approach that delivers the visibility required to be confident they can halt attack progressions at the earliest stages...
XDR provides security teams with comprehensive visibility across the kill chain, all without requiring security analysts and incident response teams to manually investigate a flood of individual alerts. XDR allows security trams to move detection further to the left in the kill chain to reduce dwell time and disrupt attacks earlier in the attack sequence...
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