Many organizations are adopting cognitive security solutions to boost response speed, security intelligence and accuracy, while others are lagging behind.
Machine learning systems like A12 are designed to augment human analysis with cognitive intelligence, enabling IT professionals to reduce false positives.
The emergence of cognitive computing is driving the future of security, enabling human analysts to make better decisions when responding to data breaches.
Cybersecurity leaders hope to use cognitive security solutions to improve detection and incident response capabilities and reduce false positives.
Respondents to an IBV survey identified incident response speed as the most pressing security challenge. Cognitive security tools can close the gap.
IBM formed the X-Force IRIS team to collaborate with clients to design solutions for today's most challenging cybersecurity issues and threats.
Cognitive security solutions will help IT analysts tackle long-term strategic issues rather than firefighting against the overwhelming volume of threats.
It's important to consider factors related to operations and infrastructure, not just threats, when discussing grid security for the utilities industry.
IT professionals are beginning to adopt cognitive security solutions to help them speed up response times and identify threats more effectively.
IT professionals are turning to machine learning solutions to help them reduce the rate of false positives and monitor huge volumes of data in real time.