Remove listing tags diversity
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How Machine Learning Can Accelerate and Improve the Accuracy of Sensitive Data Classification

Thales Cloud Protection & Licensing

Traditional approaches to data classification use manual tagging which is labor-intensive, error-prone, and not easily scalable. As organizations create more diverse and more user-focused data products and services, there is a growing need for Machine Learning (ML) to automate classification and improve the accuracy of results.

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McAfee Provides Max Cyber Defense Capabilities in MITRE’s Carbanak+FIN7 ATT&CK® Evaluation

McAfee

To represent the data for each evaluation day, we list the detection categories used by MITRE Engenuity. This was possible due to McAfee’s strong correlation and having all telemetry tagged and labeled as close to the source as possible. . Having diverse data sources for every technique enables coverage quantity and quality. .