SIEM (Security Information Event Management) allows you to identify anomalies and thwart security incidents by combining security incident management (SIM) and Security Event Management (SEM). To prevent potential security risks and vulnerabilities from impairing company operations, businesses might use SIEM, a security solution.
The data security ecosystem includes SIEM technologies, which collect data from various systems and analyze it to identify unusual behaviour or potential threats. SIEM technologies offer a central location to gather events and warnings, but they can be costly, and resource-intensive, and customers claim that it is frequently challenging to handle issues using SIEM data.
How does SIEM work?
SIEM products gather event and log data from host systems, apps, and security hardware like firewalls and antivirus filters from throughout a company’s infrastructure and consolidate it on a single platform. The data is identified and categorized by the SIEM technologies into groups like successful and unsuccessful logins, malware activity, and other potentially malicious activity.
When it locates potential security concerns, the SIEM software subsequently creates security alerts. A predefined set of guidelines allows organizations to prioritize alerts.
For instance, a user account that creates 25 unsuccessful login attempts in 25 minutes might be marked as suspicious, but it might still be given a lower priority because it is likely that the user who made the failed login attempts had forgotten his login details.
However, because there is a brute-force attack going on when a user account creates 130 failed login attempts in five minutes, it would be marked as a high-priority event.
What are the advantages of SIEM?
Security data recording is always a crucial control required by laws and regulatory frameworks like HIPAA. This function is performed by SIEMs (Security Information and Event Management), which facilitate the attestation process by streamlining the compliance process using pre-set compliance reporting templates.
SIEMs consolidate security data, enhancing its capacity for analysis and application in processes for responding to incidents. Additionally, this may lead to increased enterprise-wide security landscape visibility. Additionally, the SIEM often normalizes security. The many data streams entering the SIEM have distinct schemas and fields in their raw form. It is not typical. Users’ information, for instance, may be found in several places, such as network logs, email servers, databases, and mobile devices. This is a challenge for event correlation and data processing. The data can be restructured by the SIEM to ensure consistency for incident analysts and response procedures. The benefit of data storage is related. Normalized security data can be stored in the Security Information Event Management for extended analytics and reporting.
SOC analysts can quickly understand what is going on by utilizing analysis templates to swiftly examine log and threat intelligence data when using a SIEM to sift through millions of data points. This can help both in responding to a security threat and reducing the negative effects of a cyberattack. Security analysts would have to manually assess several security devices logs and data sources, such as threat intelligence feeds, without a SIEM. In addition to making workers burn out, which is a major issue, it makes the incident response process go much more slowly. Your SIEM product can be set up to react to incidents in real-time, thereby sparing your business from data loss or worse.
Individual security data streams would not be able to detect and identify threats as effectively as SIEM technologies can using their huge data sets. They can also add valuable context to issue alerts and improve security event data.