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Spotlight On Generative AI

How to Monitor & Prevent Risky Activity

There are any number of reasons why organizations can benefit from being able to automatically track and prevent risky behavior with proprietary resources. These include compliance with regulations like GDPR or PCI DSS, but there is also the more fundamental need to protect sensitive information such as intellectual property, source code and anything that provides a potential competitive edge. Security leaders need to be able to gather logs and forensic evidence about activities that could lead to a data breach, to most effectively mitigate these threats. 

Jason Kemmerer explains how DLP rules and IRM policies can be utilized to monitor and prevent dangerous interactions with organizational data. These best practices make the most of automation to identify risks and empower security teams to successfully follow up on flagged activities. 

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