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.
When a company suffers a malware attack, the effects are widespread. Just how far, you ask? To help answer this question, expert Brian Laing explores this topic both far and wide.
It’s 2017 and we can no longer afford to ignore good cybersecurity practices. In this ITSPmagazine exclusive, we connected with top cybersecurity experts to get their recommendations on protecting business and users from malicious attacks.
Would you feel comfortable hiring a hacker? Caroline Wong, CISSP and VP of Security Strategy at Cobalt, discusses the benefits and risks to using the power of the people – crowdsourced application security programs – at this OWASP AppSec session.