Smart and dynamic learning enhances threat detection precision by spotting overlooked threats due to manual configurations.
ManageEngine has unveiled the industry’s first dual-layered threat detection system in its security information and event management (SIEM) solution, Log360. The new feature, available in Log360’s threat detection, investigation and response (TDIR) component, Vigil IQ, empowers security operations center (SOC) teams in organizations with improved accuracy and enhanced precision in threat detection.
A quality SOC ensures people, processes, and cutting-edge technology function well. However, enterprise security is made difficult by staffing shortages and solution orchestration complexities. Following recent upgrades to the security analytics module of Log360 designed to facilitate SOC optimization through key performance metric monitoring, the company has focused on addressing pressing challenges in security operations.
“In a recent ManageEngine study, a majority of respondents revealed that their SOCs are understaffed. These resource-constrained SOCs grapple with significant obstacles, such as process silos and manual investigation of alerts, which are often non-threats, low-priority issues or false positives. These lead to extended detection and response times for actual threats. To overcome these challenges, we recognize the imperative adoption of AI & ML for contextual event enrichment and rewiring threat detection logic,” said Manikandan Thangaraj, Vice President, ManageEngine.
Vigil IQ, the TDIR module of Log360, now combines the power of both accuracy and precision in threat detection. With its dynamic learning capability, Vigil IQ adapts to the changing nature of network behavior to cover more threat instances accurately. It will spot threats that get overlooked due to manual threshold settings, thereby improving the detection system’s reliability.
Leveraging predictive analytics based on historical data patterns, Vigil IQ predicts potential security threats, facilitating the implementation of proactive measures before incidents occur. This predictive intelligence drastically reduces the mean time to detect (MTTD) threats.
