White Papers

Detect Threats Faster with Machine Learning

Sophisticated attacks are taking advantage of our inability to manually make sense of network behavior data. Cybercriminals can bypass other security controls and then mask their behavior on the network by moving slowly and in ways that appear normal to the human eye. By appearing normal, attackers can compromise more areas of your network, exfiltrate more data, and cause more damage.

Luckily, you do not have to rely on the human eye to spot abnormalities or a spreadsheet to process all your network data. You can stop attackers by having a machine learning engine process and analyze the network behavior data.

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