From Suspicious Activity to Suspended Account in Less Than a Minute: Stopping Insider Threats With Automation
To protect corporate data from insider threats, security teams should leverage cognitive-enabled UBA and IGI solutions to measure users' risk scores.
Organizations can improve their security operations and response capabilities by adopting a multilayered approach driven by cognitive technology.
By analyzing attack patterns and making their environments secure by design, analysts can control devices remotely without impeding change management.
To protect their networks from malicious insiders, user negligence and other threats, CISOs need advanced machine learning capabilities such as UBA.
While it promises to improve quality of life across the globe, many are resistant to widespread cognitive adoption due to fear of change and other factors.
Recent advancements in machine learning, deep learning and cognitive security have made artificial intelligence an essential tool for cybersecurity teams.
An automated security analytics platform can help understaffed security teams sift through threat data more efficiently and focus on more critical tasks.