Transform Raw Logs into Actionable Insights with Advanced Analytics

Automatically parse log data in real time to extract meaningful information and detect anomalies. Our solution identifies patterns and trends that might indicate potential threats, such as unauthorized access attempts or unusual spikes in resource usage. This enables you to respond to incidents as soon as they occur, minimizing the impact on your environment.

Correlate events across your infrastructure to uncover attack patterns and understand the full scope of an incident. For example, link failed login attempts to potential breaches, identify brute-force attacks targeting specific assets, or track lateral movement within your network. This holistic view helps you respond more effectively and prevent future incidents.

Use AI-powered algorithms to automatically identify suspicious patterns. These algorithms continuously learn from your environment to improve detection accuracy over time, reducing false positives and enhancing threat identification. For instance, our system can detect unusual login times, unexpected file modifications, or abnormal spikes in network traffic, helping you uncover potential threats before they escalate.

Focus on what matters most with precision filtering. Filter logs by IP, URL, response code (e.g., 4xx, 5xx), user, or time range. Save filters for recurring investigations and exclude noise to reduce false positives. This ensures that you spend less time sifting through irrelevant data and more time addressing critical issues.

Turn complex data into clear, actionable insights with dynamic visualizations, including pie charts, bar graphs, metrics, and line charts. Customize dashboards to monitor key metrics such as access attempts, CPU usage, and traffic trends—all on a single screen. Drill down into specific events or time periods for deeper analysis, enabling you to identify root causes and take corrective actions.