APT

So, How Does Machine Learning Apply To Cyber Security?

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.

ISSA-LA Conference #9 Was So Good, We Can’t Wait For #10

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.

Ransomware Predictions | Past, Present, Future (Part 1)

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.