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.
With responsive machine learning, analysts can create robust training sets by combining thousands of malware samples with current data on software updates.
Cognitive security tools enable SOC analysts to bridge gaps in intelligence, speed and accuracy, and empowers team leaders to address the IT skills gap.
New enhancements to IBM's application security testing solutions enable clients to simplify SAST, remediate open source vulnerabilities and more.