Security analysts can train intelligent intrusion detection systems to distinguish between normal and malicious traffic by creating generic data sets.
Cognitive security solutions dig through structured and unstructured data to deliver deep insights and patterns and empower CISOs to make better decisions.
Supervised machine learning can free up security analysts to respond to actual threats instead of sifting through endless streams of false positives.
Over the past 18 months, SecOps gained popularity in the developer and consumer communities as cybercriminals increasingly targeted cloud delivery models.
IT teams face a security landscape that is, like the Borg in "Star Trek," persistent and technologically superior. Cognitive security is IT's best hope.
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.