Prelert improves insight into problems and threats

Finding anomalies in data sets is an effective way of identifying performance issues or indicators of compromise before they impact a business. Being able to link those anomalies together by identifying common traits among them would be even more effective and that’s what a new Anomaly Detective tool from behavioral analytics specialist Prelert does. “IT security and operations teams are drowning in log data that, if analyzed, could tell the story of most performance issues or security threats their organization faces. However, there’s no way a person can piece that story together on their own, which is why intruders go undetected for months and performance issues can persist indefinitely,” says Mark Jaffe, CEO of Prelert. “With our machine learning capabilities, Prelert enables organizations to pinpoint issues that really matter. And…


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