The rapid increase in the use of endpoint devices driven by remote work due to the COVID-19 pandemic has resulted in the exponential growth of data and Tomer Weingarten, co-founder and CEO of SentinelOne, said artificial intelligence could help agencies automate device monitoring and the analysis of large datasets to detect and respond to threats in real time.
“Artificial intelligence has a key role to play in scaling cybersecurity and enhancing the human operator,” Weingarten wrote.
“Ideally, an AI algorithm should be deployed to take autonomous actions — deflecting attacks, analyzing events and making decisions in real time.”
With the proliferation in endpoint devices as a result of a distributed workforce model, Weingarten said agencies should be able to track those devices for cyber vulnerabilities through the cloud.
“Along with allowing remote work, agencies must also allow remote security. That means they need to be able to monitor all those endpoints via the cloud, and devices need to have embedded mechanisms that deliver real-time protection regardless of cloud connectivity,” he noted.
He also cited the need for agencies to integrate security into endpoint devices, implement identity protection and authenticate users while ensuring the security of those devices.