Slim Trabelsi, Senior Security Architect, SAP
Correlating Security Data From Multiple Sources Requires Deep Learning Tools
- The real challenge is how to make sense of huge amounts of threat intelligence data when much of it is redundant. The only way to do this is to apply deep machine learning to that data.
- Even with many security analysts, it’s impossible to process all the data, yet many companies are reluctant to adopt the levels of machine learning and automation they really need. One reason is they don’t trust the tools.
“We try to monitor everything. We acquire data from
many, many sources, both internal and external.”
One of the main challenges facing security teams is processing large amounts of data to identify serious threats and take timely action. Slim Trabelsi, senior security architect at SAP, explains that to detect and prevent an attack before it happens, most cybersecurity teams use threat intelligence platforms to collect and display data from multiple sources. “We try to monitor everything,” he says. “We acquire data from many, many sources, both internal and external.”
This is an excerpt from 7 Experts on Security Automation and Analytics. The eBook was generously sponsored by Juniper Networks.
