There has been a great deal of attention paid to the advantages of machine learning in security tools lately. And while it shows a great deal of promise, the reality is alone, machine learning is not enough to consistently and accurately detect, prevent or predict threats and is prone to false-positives. When considering how to reduce the overall threat exposure window, organizations need to understand how, only when combined with additional technologies, machine learning can be effective.
The 9th annual ISSA-LA conference, the “premier cybersecurity event in Southern California,” came to a close after two successful days of opening and closing keynotes, panels, forums and training sessions. ITSPmagazine's Selena Templeton heard many great speakers, interviewed a handful of people, and networked with colleagues and conference attendees. This is her recap of the conference.
It’s easy to make predictions. It’s harder to make predictions that actually come true. Experts Chris Inglis and Scott Scheferman share a collection of ransomware predictions which includes a set that have come true, some already made that could still come true, and a whole new set sure to knock your socks off.