Use Natural Language Processing To Correlate Data

Natural language processing can help with correlating key cyber-risk indicators that are being used in monitoring the system, according to RSA's Schlarman. From a compliance perspective, Schlarman said legal, regulatory and framework-based documents are typically published by different sources in different formats.

In addition to more easily connecting data, Schlarman said natural language processing can help with analyzing those documents to identify potential controls and requirements. Unstructured text in documents such as audit work papers and risk assessment findings is ripe with good content, Schlarman said.

As workforce transformation accelerates, Schlarman said employees want to have access to risk management data regardless of where they are. As a result, Schlarman said there is more interest in mobile capabilities for being able to access risk management workflows, approvals and notifications.