Due to the revolution of the internet, cyber-attacks on unsecured networks are increasing tremendously and organizations are on the verge of data breaches. Securing proprietary information, Personally Identifiable Information (PII), or any other sensitive data have become a daunting task. Preventing business disruption, information theft, and reputational loss is necessary to thrive and survive in the competitive industry.
The organizations must understand what data is moving into and out from their IT environment and identify malicious traffic patterns to prevent the occurrence of cyber incidents. Nowadays, a two-part solution including the Intrusion Detection System (IDS) and Security Information and Event Management (SIEM) can provide a collective security defense to organizations. The IDS can be connected to the SIEM solution to create multi-layer security.
How IDS Can Help?
The role of IDS is to monitor and analyze incoming network traffic to detect and mitigate potential cyber threats. Doing so aimed at maximizing IT security and stop dangerous traffic from penetrating the corporate network.
From an Intrusion Detection perspective, analysts can use machine learning and data mining capabilities to distinguish between normal and malicious traffic and improve intrusion detection. An IDS is a software application or device that monitors the system or activities of a network for policy violations or malicious activities. Traditional intrusion detection systems most commonly detect known threats based on defined rules or behavioral analysis through baselining the network. A knowledgeable hacker can bypass these techniques, so the need for more intelligent intrusion detection systems is increasing day by day.
Detection stability and detection precision are two key indicators used to evaluate an IDS. Many of the intrusion detection research studies have been done in order to enhance detection capability and detection accuracy. Now, researchers are applying machine learning and data mining concepts for improving intrusion detection in a network.
How SIEM Can Help?
The SIEM is an industry-leading IT security solution that enables security practitioners to detect, monitor, record and analyze security events and incidents within a real-time IT environment and store their relevant data at a central point. In addition, SIEM system also allows the interpretation of logs, profiling, security alerts, forensics, dashboards, data aggregation, advanced analytics, as well as enabling threat intelligence feeds to use data from multiple sources.
Large enterprises hold a very big quantity of data and management of such data is a difficult task. The SIEM solution can help organizations to deal with such large data. Other benefits of SIEM incorporate:
- Improving the efficiency of incident handling activities
- Streamline compliance reporting
- Detecting the incidents that otherwise cannot be detected
- Controlling false positives and noise
- Preventing vulnerable protocols
- Addressing misconfigurations
- Saving time and cost
With ever-growing cyber attacks, organizations are looking for security solutions to enhance their cybersecurity posture. To this end, the Intrusion Detection System (IDS) and Security Information and Event Management (SIEM) system can provide a collective security defense to your organization. IDS can help to prevent malicious network traffic from entering your corporate network while SIEM solution can assist in analyzing the network traffic and raise alerts if anything suspicious is detected. The collective response of both vital tools can amazingly improve the cybersecurity posture of your organization.
The Bottom Line
Logsign provides a full-featured, all-in-one SIEM solution that is equipped with Log Management, Security Intelligence, and Compliance. This solution also offers great value via clear visualization and a better understanding of organizations. Logsign SIEM can help enterprises to improve their security and business continuity, and decrease workload.