Two researchers performed an experiment based on billions of log lines that demonstrated the importance of domain expertise in machine learning analysis.
AI2 uses an "analyst-in-the-loop" system to improve itself and a "human-in-the-loop" system to create examples to be used in iterative training algorithms.
Augmented intelligence solutions enable security analysts to examine previously unthinkable amounts of data with the helps of cognitive technology.
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.
The NSF is sponsoring an attempt to build a malware chip capable of detecting anomalies in system processes and alerting local security software.
Cognitive security solutions will help IT analysts tackle long-term strategic issues rather than firefighting against the overwhelming volume of threats.