Hackers Becoming More Advanced at Escaping AI/ML Technologies

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CySecurity News – Latest Information Security and Hacking Incidents

 

Deep Instinct Threat Research team deeply enquired attack volumes and types and then extracted their results to forecast the future of cybersecurity scenarios, deciding what excites attackers, and lastly, it laid out steps that a company can take in order to safeguard itself from future cyberattacks. Key takeaways from this report include 2021 threat patterns which hint that bad actors are becoming more sophisticated in escaping AI/ML technologies, provoking companies to redouble attempts in the innovation battle. 
Particular attack vectors grew substantially, it includes a 170% rise in the use of Office droppers and a 125% rise in all threat types included. The amount of malware variants is considerably higher compared to pre-pandemic cases. Besides this, malicious actors have made a considerable turn towards newer languages like Python and Go, from older programming languages, like C and C++. These new languages offer easy learning and programming compared to their earlier variant. 
However, they are not commonly used, hence lower chances to be found by cybersecurity tools or get identified by cybersecurity experts. “Recent 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’re just now getting on a global level. The results of this research shed light on the wide-ranging security challenges that organizations face on a daily basis,” said Deep Instinct CEO Guy Caspi. 
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