Breaking Down the Real Meaning of an XDR Solution
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Learn how NDR platforms use network traffic analysis, real-time behavior detection, and
The field of cybersecurity changes , and Security Operations Centers (SOCs) need to leave behind old signature-focused tools. SOCs now rely on behavioral threat detection and analysis to strengthen their systems. Using behavior-based methods to respond to threats is key to catching advanced attacks that slip past traditional defenses.
Basic security tools depend on fixed patterns or known threat signals. Advanced attackers though often manage to avoid detection. To detect them modern SOCs use network traffic and threat behavior analysis alongside behavior-based detection. This helps them find irregularities by comparing actions to typical patterns of activity. Monitoring behaviors analyzing user activities, and studying network actions can reveal hidden signs of a threat like strange login activities or unexpected lateral movements that might otherwise stay hidden.
SOC analysts combine network monitoring, user behavior tracking, and endpoint data to find and address risks often stopping them before they cause serious damage.
Without using behavior-based analysis to handle threats in real time, SOC teams struggle with serious gaps and inefficiencies:
Lack of Behavioral Threat Intelligence: SOCs without tools to study attacker behavior and attack methods end up reacting late and staying behind their opponents.
These issues delay fast threat detection and give skilled attackers a chance to take advantage of weaknesses. Platforms combining user behavior analytics with network threat behavior analysis such as Fidelis Elevate, strengthen SOC operations.
Fidelis Elevate is an XDR platform made to support SOCs in using behavior analysis to respond to threats . It brings together tools like network threat analysis, endpoint tracking, and deception tech into one active system. This helps SOCs detect, understand, and stop threats before they can harm systems.
A financial services SOC notices a user accessing their account from two far-apart locations within minutes. This is flagged because such travel is impossible. The system uses behavioral analytics and network threat detection tools to identify the activity as unusual and generates an SOC alert. Analysts review the flagged activity secure the compromised account, and reset the user’s credentials, stopping the attacker from gaining further control.
Hackers often hide data theft under the guise of normal traffic. In one example, they masked massive amounts of sensitive data as everyday backup transfers. Analysts noticed strange file access and activity happening at odd hours while examining network traffic patterns. This raised a flag about possible exfiltration. The SOC began real-time threat detection, stopped data leaving the network, and saved forensic evidence to investigate the issue.
After breaking into a network, attackers try to move sideways to reach important systems. Behavior tools spotted unusual activity, like strange login uses and odd access patterns that didn’t match the user’s usual actions. Security teams matched this to attacker behavior patterns, which triggered immediate actions like isolating affected devices, canceling active sessions, and tightening permissions.
These tools analyze behavior to respond to threats in real time by connecting odd patterns from devices, networks, and user actions. The SOC gets alerts with scores and useful details, which lets them act fast and stop threats before they can harm anything.
| Advantage | Impact |
|---|---|
| Cross-layer signal fusion | Enables holistic detection leveraging end-to-end data |
| Contextual quality alerts | Saves analyst time with high-confidence, behaviorally informed alerts |
| Threat anticipation | Attack behavioral frameworks and behavioral threat intelligence help predict adversary behavior |
| Continuous improvement | Behavioral analytics learn and adapt, improving detection over time |
Behavior analysis for fast threat response has become essential. It forms the core of an effective SOC. By combining behavior monitoring, detection, user analytics, and attack behavior frameworks, SOCs achieve better visibility, understanding, and flexibility.
With Fidelis Elevate at the heart of operations, companies can use a single platform that combines network behavior analysis, endpoint monitoring, deception management, and machine-learning-driven threat detection. It provides proactive steps to respond and manage incidents. This platform makes behavior analysis a practical must-have for teams in SOC environments, helping them address threats, act, and improve faster than ever.
As part of your journey toward advanced defense plans, you now have both a clear understanding and a concrete way to move forward. Adding behavior-based analysis to your SOC with tools like Fidelis Elevate changes real-time detection from reacting to problems into predicting and preventing them. This keeps your organization ready to adapt and stay ahead of potential threats.
See Fidelis in action. Learn how our fast and scalable platforms provide full visibility, deep insights, and rapid response to help security teams across the World protect, detect, respond, and neutralize advanced cyber adversaries.