|Combining human intelligence with AI and machine learning tools is critical in fighting cyber-attacks and closing the talent availability gap / Credits: Aleksandr Khakimullin via 123RF|
With the increasing privacy and security issues with artificial intelligence, it’s only valid that experts and the public express their concern. Aisling MacRunnels, cybersecurity company Synack’s chief marketing officer, stated that a lot of people think that AI will take over us completely. But to address these worries, people should accept that working with AI is a critical response to issues like cybercrime.
A report titled Trust at Scale conducted by Synack revealed that combining humans with machine learning and AI made them 73% more efficient at identifying and evaluating IT risks and threats. According to HR Executive, an online site that covers all areas of human resource management, this means that IT professionals who augment their surveillance with AI gain 20 times more effective attack surface coverage compared to traditional methods. Thus, finding and addressing critical security vulnerabilities 40% faster.
The report also concluded that combining human intelligence with AI and machine learning tools is critical in closing the talent availability gap. Reports showed that an estimated 3.5 million cybersecurity positions are expected to go unfilled by 2021, while security breaches will increase by 80% every year. New technologies provide wonderful benefits to companies as they increase the number of work humans can do by taking on repetitive tasks. This includes conducting reconnaissance to build a more in-depth threat landscape, finding the most common types of security threats, and assessing data more accurately than human analysts.
“The optimal alignment is when you augment the human with machine because there aren’t enough talented humans out there to be able to find the number of vulnerabilities. What we always say is that humans are creative but finite, and you can use the machine for some of the tedious but large-scale work that would be very hard for humans to scale,” MacRunnels said.