The Impact of Artificial Intelligence on Cybersecurity: Opportunities and Threats

Abstract

Introduction: This study delves into the profound impact of Artificial Intelligence (AI) on cybersecurity. It specifically focuses on the comprehensive evaluation of AI's opportunities and threats, including enhanced threat detection, automated responses, the evolving nature of cyberattacks, and the challenges posed by AI-driven malicious activities.

Objectives: This research explores both the benefits and risks that Artificial Intelligence (AI) presents to cybersecurity. The primary focus is on quantifying and analysing the opportunities AI provides in improving security measures, such as real-time threat detection and predictive analytics, as well as the threats it introduces, including AI-powered cyberattacks and the weaponisation of AI The study offers comprehensive insights into the evolving landscape of cybersecurity in the AI era. It aims to provide valuable input for policy recommendations and augment understanding of the broader implications of AI in cybersecurity.

Methods and Materials: This quantitative study uses a structured questionnaire to investigate the impact of AI on cybersecurity among professionals in the field. Developed with 27 questions, the survey gathered primary data from 303 participants through snowball and convenience sampling. It includes closed-ended questions, employing a 5-point Likert scale for the final eight questions, and open-ended questions focusing on demographics, AI adoption, and cybersecurity challenges. Data collection was facilitated via Google Forms for accessibility, with analysis employing correlational techniques to explore relationships among variables such as the effectiveness of AI in threat detection, the occurrence of AI-driven cyberattacks, and other cybersecurity impacts, shedding light on the complex role of AI in modern cybersecurity practices.

Findings: The study reveals significant effects of AI on cybersecurity, highlighting both opportunities and threats. On average, respondents noted a 45% increase in threat detection efficiency due to AI implementations. However, 32% of participants reported encountering AI-driven cyberattacks, underscoring the dual-edged nature of AI in this field. The study also found that AI adoption led to a 40% reduction in response times to incidents, but it also revealed a 28% increase in sophisticated, AI-powered phishing attacks. These findings underscore the critical need to balance the advantages of AI with the emerging risks it presents in cybersecurity.

Conclusion: Artificial Intelligence (AI) significantly influences cybersecurity, presenting remarkable opportunities and serious threats. Recognising these impacts is crucial for shaping policies that leverage AIto enhance security while mitigating risks. This recognition necessitates the development of a comprehensive strategy that includes public education on AI's role in cybersecurity. Such education is vital for enhancing understanding and preparedness alongside evidence-based guidelines to manage the dual-edged nature of AI technologies. The urgency of this need cannot be overstated. Improving the development of AI governance frameworks is also vital for minimising risks and maximising the benefits of AI in cybersecurity. By integrating these measures, the cybersecurity industry can foster a safer digital environment and strengthen resilience against the growing threats posed by AI