Next-Gen SIEM Solution
Traditional SIEM solutions have been around for more than a decade, and they were designed to analyze logs and events from security devices to detect and respond to threats. However, traditional SIEM solutions have some limitations that make them less effective in detecting advanced threats.
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Next-Generation SIEM Solutions
Overcome the limitations of traditional SIEM solutions by using advanced analytics and machine learning techniques to detect and respond to threats. It provides the following benefits and features like:
Flexible Integrations
It allows users to integrate data from various existing security controls, IT tools like firewalls, endpoint detection and response (EDR) and productivity tools without requiring any manual intervention. The integration is facilitated by pre-built integrations.
Machine Learning
It establishes correlations between different alerts and prioritize threats for security analysts, machine learning algorithms utilizing graph techniques are employed, thereby detecting abnormal behavior on the network, which is a common indicator of a potential threat.
Sensors & Real-Time Threat Detection
It identifies intricate threats through a blend of supervised and unsupervised machine learning as well as automated threat hunting, ensuring a comprehensive and detailed view of potential threats including triggering the data collection sensors that capture network telemetry and log data in their raw form, helping to identify more threats beyond what your current security stack can detect.
Automation
Next-Generation SIEM solution automates the threat response process, in which security analysts can generate personalized threat hunts that can be executed either on-demand or at regular intervals.