{"id":12431,"date":"2022-03-02T10:22:31","date_gmt":"2022-03-02T10:22:31","guid":{"rendered":"https:\/\/www.intelligentcio.com\/north-america\/?p=12431"},"modified":"2022-03-09T11:00:19","modified_gmt":"2022-03-09T11:00:19","slug":"deep-instinct-report-finds-125-increase-in-threat-types-and-novel-evasion-techniques","status":"publish","type":"post","link":"https:\/\/www.intelligentcio.com\/north-america\/2022\/03\/02\/deep-instinct-report-finds-125-increase-in-threat-types-and-novel-evasion-techniques\/","title":{"rendered":"Deep Instinct report finds 125% increase in threat types\u00a0and novel evasion techniques"},"content":{"rendered":"\n

Deep Instinct<\/a>, the first company to apply end-to-end Deep Learning to cybersecurity, has unveiled findings from its bi-annual Threat Landscape Report<\/a>.<\/em><\/strong><\/p>\n\n\n\n

The Deep Instinct Threat Research team extensively monitored attack volumes and types and then extrapolated its findings to predict where the future of cybersecurity is heading, determine what motivates attackers, and most importantly, lays out the steps organizations can take now in order to protect themselves in the future.<\/p>\n\n\n\n

One of the most pronounced takeaways from this research on 2021 threat trends is that bad actors are becoming more successful at evading AI\/Machine Learning technologies, prompting organizations to redouble efforts in the innovation race.  <\/p>\n\n\n\n

Specific attack vectors have grown substantially, including a 170% rise in the use of Office droppers along with a 125% uptick in all threat types combined. The volume of all malware types is substantially higher versus pre-pandemic.\u202f<\/p>\n\n\n\n

In addition, threat actors have made a discernable shift away from older programming languages, such as C and C++, in favor of newer languages, such as Python and Go. Not only are these newer languages easier to learn and to program versus their predecessors, but they also have been less commonly used and are therefore less likely to be detected by cybersecurity tools or analyzed by security researchers.<\/p>\n\n\n\n

\u201cRecent major events, such as Log4j and Microsoft Exchange server attacks, have placed a heightened priority on security, but these threats have long deserved the attention they\u2019re just now getting on a global level,\u201d said Guy Caspi, CEO of Deep Instinct.<\/p>\n\n\n\n

\u201cThe results of this research shed light on the wide-ranging security challenges that organizations face on a daily basis. Deep Instinct was founded to bring a new approach based on Deep Learning to cybersecurity. We\u2019re on a mission to provide relief to cyber defenders facing advanced threats that continue to spike in volume and sophistication.\u201d<\/p>\n\n\n\n

Additional report findings include the following key takeaways: <\/p>\n\n\n\n