Integrating XDR into your Organization


An option for increasing security for ALL organizations. . .


laptop that has XDR on a shield on the screen

The threat landscape is evolving daily, and it is becoming increasingly difficult for even large organizations providing cyber defense services to keep up. As Brandao (2021) notes, it is important for organizations to adapt holistic technologies that can correlate all attack events. Therefore, developing XDR (Extended Detection and Response) technologies is necessary. Research has shown that XDR scans significantly increases an organizations’ security stature by providing visibility and correlation. I will begin by explaining what XDR is, how smaller organizations can use it to increase their security level further and inform why artificial intelligence systems XDR need to be adopted.

A novel method of threat detection and response (XDR) offers comprehensive security against cyberattacks, intrusion, and abuse. The XDR solutions provide a preventative method of finding and dealing with threats. In addition to providing visibility across endpoint, network, and cloud storage, it also employs analytics and automation to combat the complex threats of the modern day (Brandao&Nunes, 2021). XDR enables proactive and rapid detection of concealed, stealthy, and sophisticated threats for cybersecurity teams (Brandao&Nunes, 2021). The security team may monitor threats from any department or location in the company. The efficiency of those working with the technology may also be increased with the help of the security team. Also, the security staff may obtain more for their money and complete their investigations quicker. From a commercial standpoint, XDR solutions simplify and reinforce security procedures while preventing successful assaults.

Organizations of all sizes stand to benefit significantly from the incorporation of XDR (Extended Detection and Response) systems. For instance, they will be able to streamline threat detection, tracking, investigation, and mitigation processes with the use of XDR. Also, companies will benefit from XDR solutions by use of near-real-time data from vitally important security systems. Cybersecurity systems may be instructed to conduct the most appropriate automated actions once this information has been analyzed, sorted, and researched.

It can be confidently stated that organizations will be able to discover threats more quickly and react to them more effectively with the aid of XDR. This will also improve the efficiency of already established security service companies that provide network monitoring for their clients. Since XDR can eliminate many false positive results, lower-level investigators can get much more accomplished with automation now that they do not have to sift through unneeded traffic. Analysts at a higher level will receive more advanced, up-to-date insights, suggestions for resolving advanced assaults, and advice on how to look for attacks more dynamically.

Using XDR, your organization may acquire telemetry from their email gateways, which can trace a single attack to several attempts to distribute malicious URLs through email from a single infected endpoint. Since XDR can correlate network data from various systems to determine a link with data to a certain IP address, this will be feasible in the real world when an effort is made to alter a registry key on an output. In addition, Security solutions for XDR are compatible with preexisting systems for security event and incident management, as well as with cloud, on-premises, and distant endpoints (including IoT) (Aurelien, 2021). Therefore, XDR can and will assist companies in protecting their data sent internally and decreasing the frequency of cyber assaults.

XDR’s machine learning analysis, which draws on a wide variety of data sources, can detect data theft attempts practically instantly. A company will get guidance on immediate changes that can be implemented through the same interconnected systems thanks to XDR. XDR instructs an email gateway to remove any malicious emails sent inside the business before the assault is discovered, and it can shut down all compromised endpoints (Fuentes et al., 2021). Having this kind of automatic reaction ready to go helps organizations prevent many of these emails from ever being viewed by anybody in the company since all this analysis occurs in near real-time. Meanwhile, the XDR system has accumulated data that will enhance its ability to spot future assaults like this (Deflandre, 2022). Due to this, it will be able to react in the future with greater speed and precision. So, if organizations adopt XDR sooner than later they will get access to its future advantages.

One of the main selling points of XDR products or services is that they make it easier for security controllers to do their jobs by providing better transparency and control over a company’s endpoints, networks, and the cloud. If an organization implements XDR solutions, it can consolidate its security operations, including threat detection, monitoring, assessment, and response. Thus, using real-time or near-real-time input from crucial security systems, XDR technologies will assist the organization in optimizing cybersecurity features and technologies. Having XDR capabilities will allow a company to see into endpoints much further than traditional endpoint detection and response. Organizations of any size need and should budget for safeguards against cybercrime and other security concerns. Security breaches in the company’s data drain resources and reputation. Companies can protect their IT infrastructure from insider and outsider threats if they invest in robust XDR.


References:

Aurelien, J. (2021). Exploring Effective Defensive Cybersecurity Strategies for Small Businesses (Doctoral dissertation, Colorado Technical University).

Brandao, P. R., & Nunes, J. (2021, October 11). Extended detection and response importance of events context. http://www.kriativ-tech.com/. Retrieved November 15, 2022, from http://www.kriativ-tech.com/wp-content/uploads/2021/10/ExtendedDetectionResponse.pdf

Deflandre, G. (2022). Master thesis: Honeypot Evolution: Creation Guidelines and Implementation for Third-Party Application Behavior Study Using Cisco SecureX as Monitoring Toolkit.

Fuentes, M., Hacquebord, F., Hilt, S., Kenefick, I., Kropotov, V., McArdle, R., …& Sancho, D. (2021). Modern Ransomware’s Double Extortion Tactics and How to Protect Enterprises Against Them. Trend Micro, Irving, TX, USA.


Original article by Cody Smith. Data Security Analyst, infotex

Visit offerings.infotex.com if you are interested in our XDR/MDR services!


same_strip_012513


 

Related Posts

The Magnificent Seven 2023

Seven Trends . . . …that small bank Information Security Officers face in 2023 Another one of those Dan’s New Leaf Posts, meant to inspire thought about IT Governance . . . . Welcom...