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.
Security researchers have demonstrated how it is possible to use stickers to get computer vision systems in autonomous vehicles to wrongly identify signs.
Businesses and government agencies across all industries face a cybersecurity skills crisis. Can AI and machine learning help solve the problem?
The latest UEM and cognitive security offerings enable analysts to effectively collect, collate and analyze what was once an overwhelming volume of data.
It's natural for security professionals to be nervous, but Watson is designed to augment the role of the cognitive analyst, not replace it entirely.
QRadar Advisor with Watson is not meant to replace humans in the SOC. Instead, it is designed to help analysts make better decisions more quickly.
Emergent security AI offers the potential for real-time threat detection and defense — what's the role of automation in this infosecurity endgame?
Can IBM QRadar Advisor with Watson save the world? We won't know until it matures, but Watson has already shown great potential to assist SOC analysts.