Anomaly detection alone is not enough.  Many systems  can detect anomalies. But the problem is these systems identify every anomaly, without understanding the context that generated it.  This creates hundreds, even thousands of alerts to investigate.  Security teams are overwhelmed.  Unfortunately, current tools can’t sift through, elevate, and rank in real time which incidents are the riskiest—the ones that need immediate attention because of the impact they could have on the business if not stopped.  

MetaGrid is different. MetaGrid doesn't create an alert based on anomalies alone.  Its patented technology combines machine-learning-fueled anomaly detection, with user and entity behavior analytics to understand which anomalies could result in a real threat.  MetaGrid delivers a risk score in real time that visually shows the degree of severity of the risk, as well as exactly where your security team needs to look in order to mitigate it.  Without dependence on signatures and performed in stream time as it is occurring, MetaGrid elevates threats, presents them in priority order based on which ones pose the most risk to your organization, and shows you where and how to surgically neutralize them.