The Effects of Cyber Security Attacks on Data Integrity in AI

The benefits of new technology are becoming increasingly apparent to organisations as digital transformation continues. However, as technology becomes more widely used, cybersecurity threats and attacks are also becoming more common. Therefore, in order to combat constantly changing threats, increasingly advanced protections are needed. One potential solution could be to use AI. In order to evaluate the efficacy of artificial intelligence (AI)-based solutions in comparison to more conventional methods of cyber defence, the researchers in this study conducted a systematic literature review (SLR). Using the PRISMA flow diagram, the review procedures were sketched out. The other seventy-three papers were culled from scholarly publications that were searchable in EBSCO Host, Google Scholar, Science Direct, ProQuest, and SCOPUS between 2018 and 2023. Findings suggest that AI has the potential to improve cybersecurity in several areas, including automation, threat intelligence, and increased cyber defence. On the other hand, it raises new challenges, like adversarial attacks and the need for high-quality data, both of which might make AI less effective.