Enhanced Threat Detection and Prevention with Open XDR

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Threat Detection
Enhanced-Threat-Detection-and-Prevention-with-Open-XDR

Open XDR can help in correlating security warnings that would otherwise go unnoticed to detect intrusions early and stop devastating attacks and alerts.

Complete triage is sometimes impossible due to the overwhelming volume of alerts that security teams must deal with. The most important notifications are determined after a thorough analysis by experienced security analysts.

Even if the instinct or judgment of the security analysts is typically correct in highlighting alerts that probably indicate serious security occurrences or incidents, more minor, seemingly unimportant alerts are sometimes disregarded.

These are sometimes intended to be evaluated later, but if new alerts keep coming in, that rarely happens.

Understanding the Importance of Minor Alerts 

The way security teams prioritize alerts and assign a lesser priority to less serious ones are not incorrect. Should they completely disregard these minor alerts? The reality is that minor alerts are often ignored when teams are overworked and understaffed. Are these alerts important? Many are probably unimportant. However, there are several that could be the difference between discovering an attack quickly or not until the damage has already been done.

These lesser alerts could be crucial in two respects. First, it’s possible that the alerts cannot separately express anything that seems necessary. However, when taken into account collectively, they might reveal attack activity that would otherwise go undetected. The overall picture is significantly more critical in this situation than any individual data points or alerts.

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Each Data Point Is Important 

Putting these data points together may not be intuitive when spread out across a broad team or included in several findings that one analyst may have to scan or examine. Every data point is important in open XDR, and when it comes to providing input into the system, the more, the better. Even though some of these data points might not be significant, incorporating them ensures that no information was overlooked that might contain a crucial hint. While some may not be significant, others may offer essential background for attack activities.

Using Open XDR to Automate Comprehensive Data Review

The secret to an Open XDR system is to use Machine Learning to automatically connect these discoveries in a way that humans or teams may be unable to do. These systems accept information from all sources. Teams that are well staffed and have manageable workloads may be unable to handle such volume.

Each data point may be seen as trivial or insignificant when manually examined if it is only mildly anomalous and does not approach any threshold for maliciousness. When correctly correlated and analyzed, these points give a more accurate picture of attack activity. For instance, specific alerts may indicate a significant shift that points to something malicious, like an email click-through to a dubious website. Other alerts, such as a significant amount of data being transferred between internal resources or a change in the sharing policy for a SaaS app, may resemble routine business activities.

A second reason minor alerts can be crucial is that they could act as supporting information or evidence for higher priority alerts that would otherwise have been rejected. Security analysts are slightly more likely to connect the major and minor findings, but due to the volume of alerts, and the lack of resources, there is a propensity to miss them.

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Again, to improve the accuracy and speed of identifying an active attack, a strong Open XDR system should be able to connect the small data points with more significant ones. Minor data points are crucial for the quick and accurate detection of potential attack activities, whether they work as additional corroboration or as a single data point to build a bigger picture.

ttack with great speed and accuracy is a challenging undertaking. The likelihood of an attacker going undetected is extremely high. A whole new security strategy, one in which every data point is significant and contributes to identifying what may otherwise be hidden, is required to change the odds. Businesses can gain new advantages against attackers and stop being on the losing end by shifting from total reliance on individual security tools to centralizing all alerts and data —both large and small—like Open XDR. Ideally, data should not be disregarded but rather taken into account as a whole to give businesses a competitive advantage in thwarting or mitigating threats.

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