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HOW MACHINE LEARNING CAN HELP SECURE YOUR BUSINESS
The world ’ s first cyberattack took place in November 1988 when Robert Tappan Morris wrote the first ever distributed denial of service ( DDoS ) program . In the last 30 years , cyberattacks on businesses have become much more frequent and sophisticated .
The adoption of Digital Transformation strategies and the Internet of Things ( IoT ) has led to an exponential rise in the number of vulnerable endpoints that can be exploited – there are millions of connected devices on the internet today . The repercussions are evident in some of the cybercrime statistics . victim . Fileless malware attacks occur when hackers , instead of installing malware on host machines , use built-in system tools such as PowerShell and Windows Management Instrumentation ( WMI ) to gain privileged access and move laterally . It is more difficult to detect such attacks as they go unnoticed amongst the routine activities that administrators carry out using these same tools . A zero-day exploit happens when a hack occurs on the same day that a vulnerability is exposed . Due to these sophisticated methods , the mean time to identify ( MTTI ) an attack was as high as 197 days , and the mean time to contain ( MTTC ) was 69 days in 2018 . p
There were 1244 data breaches and 447 million exposed records in 2018 alone . And a University of Maryland study concluded that a hacking attempt occurs once every 39 seconds . Juniper Research predicted that cybercrime will cost businesses over US $ 2 trillion by 2019 .
Moreover , cyber-attackers have become more creative in their attack methods using tactics such as smart phishing , fileless malware , and zero-day exploits . Smart phishing involves the hacker doing substantial background research before targeting a
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