AI in Cybersecurity

Abstract

Huge strides have been made recently in AI-generated media. Writing, videos, audio, and images are being created, bearing more and more resemblance to work created by humans. There is still a way to go, but the Turing Test may be passed trivially if things continue at the current rate. AI's continued development will cause a litany of new innovations and security issues. This research details the impact of this development so far and the impending changes soon to come. The objective of the research is to evaluate the ability of implementations of AI to either bypass or reinforce preexisting security measures. This is exploratory research that will focus on qualitative research. AI has already had a lot of impact on implementing new security measures. AI leads to new levels of data analysis and detecting unusual behavior across an entire network, which can rapidly increase security response times. There will also be more proactive AI that attempts to locate security vulnerabilities so that they can be secured. However, there are several new threats from AI. Attacks that use AI to mimic a voice ideally mean phishing attacks will increase complexity and begin training algorithms. When AI can simulate realistic conversation all on its own, this will lead to many growing security risks. AI will also become a new target for threats, for which entirely new security features must be generated.