Mark Settle, chief information officer at San Francisco-based identity management services provider Okta (Nasdaq: OKTA), has said government agencies should implement data analytics and identity authentication processes in order to adapt and improve the defense of their information technology systems from cyber threats.
Settle wrote that advanced analytics could help organizations manage large data workloads in order to track the movement of data across cloud-based platforms, data centers and networks.
He noted that there are three emerging trends that could help agencies draw out context from data and those are deep machine learning, bots and streaming analytics that will supplant conventional predictive models.
He also discussed the need for identity authentication as users try to get access to sensitive data and how organizations should look at security vulnerabilities.
“We have to stop thinking about security vulnerabilities as static and start thinking about them in contextual terms that can change based on user identity, endpoint location, device, time of day or even current events,” Settle added.