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.
During the 28 years that IBM has been helping Wimbledon manage its digital platforms, the cybersecurity landscape has changed dramatically.
Businesses and government agencies across all industries face a cybersecurity skills crisis. Can AI and machine learning help solve the problem?
In the Industry 4.0 era, mainframe security is supported by four key areas: big data, analytics, human-machine interaction and cognitive computing.
IBM will host an e-summit on cybersecurity in Asia-Pacific to foster collaboration and help IT teams embrace emerging technologies.
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.
IBM Security developed QRadar Advisor to help IT analysts address gaps in speed, accuracy and intelligence and respond to incidents more confidently
Cognitive security solutions such as Watson can help businesses of all sizes save money and reduce the impact of a cyberattack.