Cyber threats are becoming extremely sophisticated, as evidenced by the many high-profile breaches over the last few years. Organizations are confronting a new reality where they must accept that they are likely to be impacted, despite their best attempts to keep these threats out altogether. They need quicker and better ways to discover, investigate and remediate these threats. Marrying Big Data with machine learning can help address this challenge by providing security professionals with the Big Data security analytics (BDSA) they need to thwart the bad guys.
Without a doubt, when BDSA is used correctly, it is extremely beneficial to an organization. However, there are many false claims around the capabilities of BDSA. When considering BDSA solutions, analysts need to carefully evaluate these capabilities and determine whether their organizations' needs for detection of attacks on the inside and incident response are being met. In this slideshow, John Dasher, vice president of marketing at Niara, a cybersecurity company focused on Big Data analytics, has identified six common myths to consider when deploying BDSA solutions.
Ransomware is a legitimate threat, with estimates from the U.S. Department of Justice showing that over 4,000 of these attacks have occurred every day since the beginning of the year. ... More >>
While cybersecurity concerns are widespread, finance remains one of the most vulnerable areas for malicious attacks. ... More >>
Here are the top 10 strategic technology trends that will impact most organizations in 2017. Strategic technology trends are defined as those with substantial disruptive potential or those reaching the tipping point over the next five years. ... More >>