FINAL WORD
F5 : How AI can be blended into IT automation security
The evolution of AI within the cybersecurity landscape has led to the discovery and mitigation of new cyber-events and attack vectors . The result is a rush by organisations to build more automated and intelligent security defences using techniques like Machine Learning , Deep Learning and Natural Language Processing . In this article , Lori MacVittie , Distinguished Engineer at F5 , explains how organisations can use Artificial Intelligence to ensure a seamless automation approach within their security .
In the popular story , The History of Poisoning Wells – an ancient Mesopotamian tale highlighting the cruellest threat to the region ’ s water supply – jihadists destroyed human life in the Iraqi town of Snune and further poisoned every well they could get their blood-stained hands on .
Some wells they choked with oil , while others were jammed with ragged metal debris . All in a bid to kill every functioning water outlet left and reduce the agriculturally rich district to nothing .
The bigger lesson was that whether by cutting off access to wells or using wells as a force multiplier for spreading diseases , the town well is always a significant attack vector to the enemy .
In today ’ s cybersecurity context , we can liken the analogy of the town well to a script or an API endpoint that initiates automations to drive change into infrastructure , applications and digital services within an organisation .
F5 ’ s 2022 State of Application Strategy Report stated that 78 % of organisations employ a rich set of automation across IT for the above purposes , highlighting the prevalence of automation to drive changes into complex , hyperscale systems operated by tech giants like Facebook , Twitter , Amazon and others .
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