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Enterprises have to strike a delicate balance between business agility and security which can often be seen at odds with one another. By leveraging machine learning data driven improvements can be made by providing more efficient and effective security models. Combining signals from both the network and security infrastructure you already have in place, you can start to not only automate the detection but also the defense against malicious activity. You need context to accurately determine the full severity of an event before you can start remediating the threat. By correlating multiple events into high fidelity signals we can more accurately confirm what devices have been compromised and effectively use automation to remediate, reducing your risk and shorten time to resolution.
Personnel: Krystle Portocarrero
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