Brianna White

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Jul 30, 2019
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Cybersecurity threats are evolving at an alarming pace. There’s nothing new about that – cybercriminals are always seeking new ways to compromise business systems, so as soon as one threat is identified and neutralized, we should already be on the lookout for the next.
COVID-19 has, if anything, only accelerated this evolution thanks to the vulnerabilities presented by rapid digital transformation and the transition to remote working – coupled with uncertainty that bad actors have been only too happy to exploit.
It goes without saying that IT teams need to be properly equipped to deal with these threats, but alarmingly, there is evidence that many IT decision-makers do not feel that they are properly set up for this mammoth task. A recent AI/ML report from Carbonite + Webroot revealed that both enterprise organizations and SMBs (small- and medium-sized businesses) believe they’ve been harder hit by cyber attacks in the last year than in those before. However, just 19% of enterprise IT decision-makers say their current tools help stop all their cyber security-related threats, down from 36% in the company’s previous annual survey.
Fortunately, artificial intelligence and machine learning (AI/ML) technologies can deliver the powerful new cyber security tools ITDMs crave, and offer hope in our ability to keep up with the latest cyber threats. While adoption of AI/ML technologies has been increasing, understanding of how they work and the true benefits they offer is trailing behind.
The power of AI/ML
From data analysis to customer service and much more, the applications of AI/ML for IT departments are ever increasing. Cyber security is no exception to this, and these new technologies are helping to boost automation and identify emerging threats before they can wreak havoc with your systems.
Continue reading: https://www.itpro.co.uk/security/cyber-security/362050/why-ai-and-machine-learning-are-vital-cybersecurity-tools-for-2022
 

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