Cognitive security solutions help security teams distinguish valuable threat data from noise on the network and respond to incidents more efficiently.
Machine learning can be a boon for businesses, but effective machine learning must help analysts cut through the noise with few false positives.
IT decision-makers must develop a strong cybersecurity strategy that uses analytics and innovation to create an integrated approach to data protection.
Companies all over the world are going green, but due to budgetary limitations and industry customs, many have yet to adopt green security technology.
Financial institutions need intelligence-driven fraud detection and prevention solutions to protect customers' sensitive data from phishing attacks.
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.