Threat hunting is the process of proactively searching the network to spot suspicious activities, risky events, and malware. It is important to know how to hunt for threats in your network in real time.
Let's walk through the steps for hunting security threats.
Threat hunting can be carried out in organizations that have a mature security program. It requires highly skilled analysts who understand their network behavior to spot threats that are not detected using SIEM tools. It would be a good addition to an organization's security operations center (SOC).
With all the prerequisites in place, you can proceed to look for suspicious activities and indicators of compromise (IOCs) in your network.
After individually analyzing data from various parts of your network, you must look for patterns in the identified anomalies. A privileged user account accessing a resource for the first time, adding members to a security group, then creating copies of sensitive data is a chain of events that clearly depicts an attack. You can perform threat hunting by analyzing the events and confirming that all of them were carried out by the same user and are part of the same attack.
You can detect threats by searching and clustering the log data.
Collecting and storing logs centrally can help you sift through them to identify threats. For instance, if a normal user account accesses a critical server and requests sensitive data, it's possible that an attacker modified the permissions associated with this account to escalate their privileges.
In such a case, you need to search your log data to identify the user's recent activities. If you find suspicious activities, such as multiple failed attempts to access the critical server, followed by a successful one, followed by a download of sensitive information, it is a clear indication of a threat actor lurking in your network.
Using AI and ML pattern detection to cluster log data into groups with similarities in data points will allow threat hunters to identify outliers in each group. The outliers will depict unusual activities carried out by an attacker and it will become easier to identify threats.
You can further investigate the threats and conduct forensic analysis to mitigate the attacks.
A SIEM solution powered by user and entity behavior analytics can help you identify behavioral anomalies from users and systems as it alerts you in real time via SMS and email about suspicious activities. If you'd like to try out ManageEngine's SIEM solution, you can download the free, 30-day trial of Log360.
You will receive regular updates on the latest news on cybersecurity.
© 2021 Zoho Corporation Pvt. Ltd. All rights reserved.