With responsive machine learning, analysts can create robust training sets by combining thousands of malware samples with current data on software updates.
Many of the most notable cybersecurity trends of the first half of 2017, such as the rapid evolution of malware techniques, will continue through the year.
Banks and financial institutions require a dynamic strategy to identify emerging cybercrime trends and stop fraudsters in their tracks.
Businesses and government agencies across all industries face a cybersecurity skills crisis. Can AI and machine learning help solve the problem?
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.
Nowadays, most organizations' networks are under constant attack. Cognitive security is the key to locating IoCs within the tsunami of threat intelligence.
Emergent security AI offers the potential for real-time threat detection and defense — what's the role of automation in this infosecurity endgame?
At InterConnect, IBM Security GM Marc van Zadelhoff explained how cognitive technology can revolutionize cybersecurity and the role of the security analyst.
Security orchestration is the union of people, process and technology — computer automation where it works, and human coordination where it doesn't.
Intelligent Code Analytics: Increasing Application Security Testing Coverage With Cognitive Computing
With intelligent code analytics, developers can use machine learning to mark up APIs and bring application security testing to the next level.