Cleaning House: Getting Rid of Malicious Insiders - Seguridad Mania.com - España y América Latina

Insider Threats are a common concern for a lot of organizations, and Gurucul's Risk Analytics platform has a range of features that are specifically designed to handle the insider threat use case. The assumed challenge can be dealing with malicious insiders before they become an active threat, doing damage to the organization, its reputation, or it's customers. Machine Learning based security analytics can identify these malicious insiders by their behaviors and highlight the risk before they cross the line from a potential issue to an active threat. In many cases, malicious actors display telltale behaviors well before they act which means it's possible to identify the risk early enough to prevent an unhappy employee, or deliberate threat actor, from doing damage to the organization. Join us to explore how Gurucul's Machine Learning risk analytics platform can help you identify and remove malicious insiders before they generate a newsworthy incident.