Novel Cybersecurity Challenges Within Artificial Intelligence

Abstract

Beyond the entertainment industry's dystopian rendering of AI, industry needs to understand how it might best practically integrate AI over the next few years.From the speed and accuracy of problem resolution to the discovery of new ideas, AI has been heralded as a panacea for many issues within many fields, but is it?There are certainly jobs that AI is best placed for, but others we are not ready for yet.Cybersecurity is a particular focus of this paper and in particular the challenges faced in the future.AI is regarded as a combination of studies including machine learning and data mining.Beyond technologies, the field also considers the ability of AI to perform tasks that would otherwise require human intelligence.Their integration into cybersecurity frameworks has opened new frontiers in digital defense while simultaneously presenting novel challenges.As AI technology evolves, so do the techniques employed by cybercriminals, resulting in a constant cat-and-mouse game between security experts and malicious actors.There is a lack of transparency in AI algorithms that raises concerns about the reliability and accountability of AI-driven security measures which begs the question, do we trust AI?For if AI algorithms make incorrect decisions or fall victim to adversarial attacks, the consequences could be severe.Ethical considerations also loom large in the realm of AI-powered cybersecurity.Questions about bias in AI algorithms, which can result in discriminatory outcomes, raise concerns.Ensuring that AI systems are fair and unbiased while maintaining their effectiveness is a delicate balance that the cybersecurity community must navigate.Insight As A Service (IAAS) may become a future offering beyond the current analytical capabilities of predictive analytics.