With IBM's Cognitive SOC and Watson for Cyber Security, analysts can detect and respond to incidents that traditional threat intelligence platforms miss.
As we continue our transformation into a digital world, IT leaders must find ways to resolve disconnects related to communication, policy, tools and more.
New capabilities such as artificial intelligence and voice control make it easier to interact with our devices, but they also introduce security concerns.
Not feeling the love from your SIEM solution? Integrate it with existing tools to best fit the unique needs and goals of your business.
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.