Security Operations Centers (SOCs) are on the front lines of an organization’s defense against cyber threats.
Security Operations Centers (SOCs) are on the front lines of an organization’s defense against cyber threats. One of the biggest challenges SOC teams face is finding and responding to real attacks amidst the constant flood of security alerts and false positives. With the increase in the volume and complexity of cyber-attacks, it’s becoming more and more difficult for SOC teams to keep up with the sheer number of security alerts they receive on a daily basis. False positives, which are alerts that turn out to be harmless, can divert the SOC team’s resources and attention away from real threats. Network Detection and Response (NDR) solutions have become increasingly popular among SOC teams as a way to solve this challenge. In this blog post, we’ll explain how SOC teams are leveraging NextRay NDR to find real attacks and improve their overall security posture.
The first step in solving the challenge of finding real attacks is to have a clear understanding of what an attack looks like. NextRay NDR provides SOC teams with a detailed view of network traffic, which allows them to build a baseline of what normal network activity looks like. By understanding what normal activity looks like, SOC teams can quickly identify when something is abnormal, which can indicate an attack. This is a process called “baselining”, where NextRay NDR will track and monitor the network traffic patterns, identifying deviations from the normal behavior of the network. It will then send alerts based on the level of deviation, so SOC teams know when to focus on the incident and when to ignore it.
NextRay NDR uses a combination of techniques, such as signature-based detection, behavioral analysis, and machine learning, to detect threats. Signature-based detection uses a known signature of malicious activity to identify an attack. For example, a known malware that can exfiltrate data from the network will have a specific behavior that NextRay NDR can detect and alert the SOC team about. The behavioral analysis looks for patterns of behavior that are indicative of an attack. For example, it can look for a user that is trying to access multiple servers in a short period of time or for a server that is generating a large amount of traffic that is not normal for that server. Machine learning algorithms can analyze large amounts of data and identify patterns that humans might miss.
Another way NextRay NDR can help SOC teams find real attacks is by providing network forensics and incident response capabilities. NextRay NDR can capture and store network traffic, which allows SOC teams to conduct forensic investigations and determine the scope and impact of an attack. Additionally, NextRay NDR can also provide information that SOC teams can use to respond to an attack, such as identifying the source of the attack and the systems that were impacted. This is especially important in cases where the attack was not detected by other security solutions like firewalls, intrusion detection systems, and intrusion prevention systems.
Another advantage of NextRay NDR is its ability to detect unknown threats. These are attacks that are not known to the SOC team or the security solutions they are currently using. NextRay NDR can detect these threats by analyzing network traffic patterns and identifying anomalies. Once an unknown threat is detected, the SOC team can then investigate and determine the best course of action.
Finally, SOC teams are leveraging NextRay NDR by integrating them with other security tools such as SIEM, EDR, and threat intelligence platforms. According to Gartner this integration between NDR, SIEM, and EDR provides SOC teams with comprehensive visibility over the network, endpoints, and logs.
Moreover, it helps SOC teams to correlate and prioritize security alerts, and quickly respond to the highest-priority security incidents. By having all the data in one place, SOC teams can gain a more complete view of what is happening in the organization’s network, enabling them to make more informed decisions. This integration is especially beneficial when an attack comes from multiple vectors like email and network at the same time, as NextRay NDR can cross-reference the security alerts with the SIEM and EDR solutions to have a better understanding of the incident. Also, the integration with the threat intelligence platforms will enable NextRay NDR to automatically check the malicious IP addresses, domains, and file hashes against known threats and respond accordingly. This can save the SOC team a lot of time and effort as they don’t have to manually check every alert against different sources of threat intelligence.
Moreover, SOC teams are leveraging NextRay NDR by creating security workflows. These workflows allow the SOC teams to automate and streamline incident response processes, which can significantly improve their response time to security incidents. For example, when an attack is detected, NextRay NDR can trigger an automated incident response process that includes steps such as isolating the affected systems, collecting forensic data, and escalating the incident to the appropriate team members. By automating incident response, SOC teams can respond to threats more quickly and efficiently.
In conclusion, NextRay NDR is an important tool for SOC teams in finding real attacks. By providing detailed visibility into network traffic, allowing teams to build a baseline of normal network activity, and providing network forensics and incident response capabilities, NextRay NDR can help SOC teams identify real attacks more quickly and effectively. Additionally, by integrating NextRay NDR with other security tools and creating security workflows, SOC teams can improve their overall security posture and respond to threats more efficiently. With the constant evolution of cyber threats, it’s crucial for organizations to have NextRay NDR in place to protect their network, data, and systems.
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