Extended Detection And Response- What It Is And Why It’s A Critical Component Of Security Strategy?

Cyber security + Global news admin_scs todayNovember 17, 2021 146 158 3

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XDR stands for Extended Detection and Response. It is based on SaaS(the service of providing applications over the internet). It is a vendor-specific, security threat detection and event response tool which inherently integrates many security products and items that merge all the licensed increments into a compatible security operations system.XDR provides the customers with real-time information and data that is needed to deliver threats to business operations for better and faster results.


It provides improved protection, security, detection, and response capabilities. It provides enhanced productivity of operational security personnel. It provides a lower total cost of ownership for successful detection and response of security threats. Extended Detection and Response grab the assurance of merging multiple products into a cohesive, combined security incident detection and response system. XDR is a logical advancement of endpoint identification and response EDR solutions into a primary incident response tool. EDR assists security analysts in rapidly prioritizing threats and lessening potential disruption.

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Perfecting security missions productivity by upgrading discovery and reaction capabilities by unifying visibility and control across endpoints, networks, and the cloud.XDR ingests and distills numerous streams of telemetry. It can also analyze TTPs and other trouble vectors to form complicated security operations capabilities more accessible to security brigades that don’t possess the coffers for further custom-made point results.XDR removes the daunting discovery and disquisition rounds and offers a threat-centric and business environment to move more quickly to a response to the trouble.


XDR security provides developed trouble discovery and response capabilities containing discovery and reaction to targeted attacks. Indigenous support for behavior analysis of users and technology means. Threat intelligence containing original local trouble intelligence coupled with externally- cultivated trouble intelligence origins. Degrading the need to turn out false cons by relating and attesting cautions automatically. Incorporating applicable data for briskly, more exact incident triage. Consolidated framework and hardening capability with weighted guidance to help prioritize conditioning complete analytics.


Extended Detection and Response (XDR) products enhance by adding value through consolidating various security products into a cohesive, unified security incident detection and response platform. XDR is a well-organized advancement of endpoint detection and response (EDR) platforms into one incident response tool. Evaluating today’s advanced threats needs more than a collection of point solutions. XDR can optimize responses with advanced context.


A large stream of alerts is converted into a smaller number of incidents that helps to the manual investigation. To resolve alerts quickly, it provides integrated incident response options that have the necessary context from all security components. It provides response options that go beyond infrastructure control points that include network and endpoints. To perform repetitive tasks, it provides automation capabilities. It provides common management and workflow experience across security components for reducing training and up-leveling Tier 1 support. It provides usable and high-quality detection content with little-to-no tuning required. Critical SOC functions are improved by Extended reaction and response (XDR) when they are reacting to an attack in their environment.


In the detection phase, it identifies more and more meaningful threats by combining endpoint telemetry with a growing list of security controls providers and also security events that are collected and analyzed by security information and analytic platforms.


In the investigation phase, human-machine teaming agrees on all relevant threat information and applies situational security context that more quickly reduces signal from noise and helps with the identification of root cause.


In the recommendation phase, it provides analysts with oppressive recommendations to continue an investigation through additional queries as well as it offers relevant response actions that cause most effectively to improve the containment or remediation of a detected risk and threat.


In the haunting phase, it provides a common query capability across a data repository that contains multi-vendor sensor telemetry in search of suspicious threat behaviors, allowing threat hunters so that they can locate and take action based on recommendations. A comprehensive XDR platform requires a vendor which delivers a product portfolio and a partner ecosystem including breadth, depth, and market maturity to meaningfully interconnect and correlate detections across multiple alerts. It makes sense of the context, prioritizes the risk, and derives a response that may be easily orchestrated across the company.


XDR gives support for a vast range of network security responsibilities. It can also be adopted to help support specific use cases, depending on how mature your security team is. Three use cases that mirror the tiers security professionals are often classified with the following listed below:


In tier 1, XDR solutions are often adopted as the primary tool that is used for aggregating data, monitoring systems, detecting events, and alerting security teams. These systems can enable a hand-off to higher-level teams or can form the base for further efforts.


In tier 2, teams can use solutions for making repositories of analyses and information on events. This information is often wont to investigate events, evaluate responses, and train staff together with threat intelligence.


In tier 3, there is threat hunting. In this, the data collected by XDR solutions can be used as a baseline for performing threat hunting operations. These operations actively seek evidence of threats that have been overlooked by systems and analysts. During threat hunting processes, data used for and collected can also be used to create new threat intelligence which is then further used to strengthen existing security policies and systems.


The three key capabilities of XDR solutions are listed below:


XDR solutions believe in a range of analytics for threat detection. Some of the analytical features that are typically included are listed below:

The first one is the examination of both internal and external traffic. It ensures that malicious insiders and compromised credentials are identified. XDR is able to identify a threat even if it has already avoided your system perimeter by monitoring and analyzing both internal and external traffic.

The second one is Integrated threat intelligence. It includes information on known attack methods, tools, sources, and strategies across multiple attack vectors. Threat intelligence enables XDR to learn from attacks on other systems and then use that information to detect similar incidents in their environment.

The third one is machine learning-based detection. It includes supervised and semi-supervised methods that are based on behavioral baselines that work to identify threats. Machine learning technologies let XDR detect threats like zero-day threats and non-traditional threats that can bypass signature-based methods.


Once doubtful incidents are detected, XDR can provide tools that help security teams determine the seriousness of a threat and make a response accordingly. Some of the features included in XDR that can help with investigation and response are given below:

The first one is the correlation of related alerts and data. In this, the tools can automatically group related alerts, build attack timelines from activity logs, and prioritize events. This helps teams quickly identify the root cause of an attack and can help them predict what an attacker might do next.

The second one is the Centralized user interface (UI). It enables analysts from the same console to investigate and respond to events. This helps them to speed up response time and makes documentation of responses simpler.

The third one is the response orchestration capabilities. It enables response actions directly through XDR interfaces, along with communication between tooling. For example, XDR can improve endpoint policies in response to an automatically blocked attack on a single endpoint across the enterprise.


XDR solutions are designed to give additional benefits over time. Some of the features that help accomplish this goal are given below:

The first one is Security orchestration. It is the ability for unified and standardized responses to integrate with and leverage existing controls. XDR solutions also contain automation features that make sure the policies and tooling are deployed consistently.

The second one is Scalable storage and computation. In this, XDR meets your data and analysis through the usage of cloud resources that are able to scale to. This makes sure that historical data remains available and is useful for identifying and investigating advanced persistent threats or other long-running attacks.

The third one is Improvement over time. In this, the inclusion of machine learning ensures that through detecting a broader range of attacks over time, in combination with the inclusion of threat intelligence, the solutions become more effective and also help ensure that the maximum number of threats are detected and prevented.


XDR is a critical component of security strategies for the following reasons:

The first and the main reason is the improved prevention capabilities. The addition of threat intelligence and adaptive machine learning can help to ensure that solutions are able to implement protections against the greatest variety of attacks. Also, continuous monitoring along with automated response can help block a threat as soon as it is detected to prevent any loss or damage.

The second reason is granular visibility. It provides full user data in combination with network and application communications at an endpoint. This contains information on access permissions, applications in use, and files accessed. Having full visibility including on-premises and in the cloud across your system, enables you to detect and block attacks quickly.

The third reason is the effective response. Robust data collection and analysis allow you to trace an attack path and reconstruct attacker actions. This gives us the information needed to locate the attacker wherever they are. It also provides valuable information that you simply can apply to strengthen your defenses.

The fourth reason is greater control. It includes the ability to terminate blacklist and whitelist traffic and processes. This will make sure that only approved actions and users can enter your system.

The fifth reason is better productivity. Centralization reduces the total number of alerts and increases alerting accuracy. This means that there are fewer false positives to investigate. Also, since XDR isn’t a mixture of multiple point solutions but maybe a unified platform, it gets easy to take care of and manage and reduces the number of interfaces that security must access during a response.


XDR is different from other security tools. It is because it collects, normalizes, and corresponds to data from multiple sources. These capabilities cause more complete visibility and can expose less obvious events.

By collecting, understanding, and analyzing data from multiple sources, XDR solutions are able to better validate alerts, which results in reduced false positives and increased reliability. This helps reduce any time that team might possibly waste on excessive or inaccurate alerts. This results in improved productivity in security teams and allows faster, quicker, and more automated responses.

Although the same results can be achieved with a combination of EDR and security incident and event management (SIEM) solutions, XDR goes beyond these capabilities. SIEM solutions collect shallow data from many sources, while XDR analyzes and collects deeper data from targeted sources. These collection methods and processes cause XDR to provide better context for incidents and eliminate any need for manual tuning or integration of data. Moreover, because the alert sources are native to the XDR solution, the integration and maintenance effort is eliminated that is required for monitoring alerts in a SIEM.


EDR was developed to provide perimeter-wide protection and safety for a system. This was a development on existing methods as it provided coverage in an attack endpoint for a primary component. The output was proactive endpoint security that covered almost every security gap and blindspots. Successful use of EDR needs collaboration with other tools, strategies, and processes. EDR cannot protect your system on its own, also it cannot provide full visibility of your system. Rather, it can provide limited visibility into what actions and processes attackers are taking on your endpoints. You need to bring in other monitoring and detection tools if you want to know what happened throughout the attack.

XDR was designed and developed to fulfill these needs. Unlike EDR, it provides visibility into every phase of an attack, from the endpoint to the payload. By merging XDR into your security platform, you can collect all necessary information and data from across your systems. This helps you determine and analyze a more accurate picture of past attacks as well as attacks in progress. This is very important as networks become more distributed and more outside services are incorporated and provided system access.


Security Information and Event Management (SIEM) is used as a central repository of security event data and a way to generate alerts from security events in most security operations centers. XDR can expand SIEM by making use of SIEM data and integrating it with data from point solutions that combine with the XDR platform. 

XDR can take SIEM one step forward. For example, instead of having security analysts manually go into endpoint security systems or cloud systems to investigate further, XDR can do this automatically when a SIEM platform gives rise to an alert. It can integrate data from the SIEM with forensic data from endpoints and cloud resources, and generate a complete attack story. Analysts can quickly understand the full extent of the threat and give an answer to it.

XDR also makes more advanced analytics. SIEM was commonly based on statistical correlation rules and regulations, while XDR introduces AI-driven analysis that develops behavioral baselines, and determines anomalies based on these baselines. It can add another layer of analysis to SIEM data, improving the time to detection and response, saving even more time for security analysts.


While XDR platforms are an outstanding improvement over traditional tools and many EDR systems, these solutions are still not foolproof. To  make sure that all the implementations are effective and that you are getting the greatest protection and safety for your investments, make sure to avoid the following mistakes:


XDR solutions need to merge smoothly with the existing solutions you made. You lose out on productivity gains if integration requires a lot of lengthy work and custom plugins. You’ll likely also have to lose some of the control and visibility that makes XDR an outstanding improvement over alternatives. If the platform you want doesn’t integrate well, you’re likely better off finding another. Not having to maintain or build an integration from scratch can be worth the compromise, while you may not get all of the features of your preferred platform. Being able to take advantage of native integration enables you to implement and develop a new platform quickly and provides quick safety enhancements. Likewise, make sure to prioritize those that are already compatible, when looking to integrate additional tooling with your XDR. In general, you should be careful of applications, tools, and services that need additional integration work since this is a debt you’ll have to carry forward.


Automation is the main key that makes XDR efficient. The potential to automate tracking, alerts, and responses reduces the workload of security teams and makes them pay attention to higher-level tasks. However, to make automation efficient, it needs to go beyond simply sandboxing processes or blocking all traffic. The chosen XDR platform should ideally contain automation that adjusts to current system conditions and responds based on multiple parameters. For example, being able to either match it to a previous user profile or assign it a temporary status and identify when a device has connected to your network. This can then make you monitor unknown devices more closely and more quickly restrict potentially malicious access.


XDR platforms provide ease to the efforts of security and response teams. This extends to configuration and maintenance requirements and goes beyond interfaces and dashboards. If it is difficult to update in a system or does not allow settings to be easily set or changed, its value decreases. In addition, if a platform is developed of various technologies that are not natively linked, the teams are effectively still using disparate tools. These tools require extra operational efforts to be as effective and are more likely to. Instead, one should look for platforms that contain native services and functionalities that don’t need external add-ons.

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