Loom Systems Ltd. is joining the growing ranks of companies applying artificial intelligence to the task of making sense out of the mass of data that overwhelms security professionals. The company today is announcing an operational analytics platform for real-time detection and resolution that reads log files and looks for anomalies. The Tel Aviv-based company says it does this by mathematically modeling the ways in which humans analyze such data, and then simulating the process via machine learning. It correlates each metric to baseline patterns in order to detect anomalies and predict future trends. The result is what the company claims is a 45 percent reduction in mean-time-to-resolution and a 93 percent reduction in log file clutter.

Loom Systems Ltd. is joining the growing ranks of companies applying artificial intelligence to the task of making sense out of the mass of data that overwhelms security professionals. The company today is announcing an operational analytics platform for real-time detection and resolution that reads log files and looks for anomalies. The Tel Aviv-based company says it does this by mathematically modeling the ways in which humans analyze such data, and then simulating the process via machine learning. It correlates each metric to baseline patterns in order to detect anomalies and predict future trends. The result is what the company claims is a 45 percent reduction in mean-time-to-resolution and a 93 percent reduction in log file clutter.