An incident response plan, basic understanding of the threat landscape and regular security testing are crucial to IoT security.
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.
IBM and Check Point are pairing up to provide increased security protections, which include automating endpoint detection and communication.
An automated security analytics platform can help understaffed security teams sift through threat data more efficiently and focus on more critical tasks.
Cognitive security solutions such as IBM Watson for Cyber Security help analysts process overwhelming amounts of threat data during incident investigations
Security measures are most effective when built in during the design phase. To achieve this, companies must understand basic facts about IoT security.