Machine data and machine learning have the potential to connect disparate data sources, enabling better fraud detection and prevention, says Matthew Joseff of Splunk, who highlights real-world examples of fighting fraud with better data.
Too many organizations leverage advanced threat intelligence merely to detect indicators of compromise. But Brian Hussey of Trustwave wants to help them mine actionable threat intelligence to truly bolster enterprise defenses.
Unsupervised machine learning is essential to mitigate the sophisticated cross-channel fraud techniques attackers are using to take advantage of the multiple silos and security gaps at financial institutions, says ThetaRay's James Heinzman
Apache has released an emergency fix for its Struts web application framework to patch a flaw that attackers can exploit to take full control of the application. Some incident response experts, based on the severity of breaches they've investigated, recommend dropping Struts altogether.
Although the outlook for advancing interoperable, secure national health information exchange is promising, many significant challenges still must be overcome, says David Kibbe, M.D., founding president and outgoing CEO of DirectTrust.
With less than three months to go until the U.S. midterm elections, Alex Stamos, until recently Facebook's CSO, says there isn't time to properly safeguard this year's elections. But here's what he says can be done in time for 2020.