Harnessing AI and NLP for Enhanced Cybersecurity: A Strategic Approach to Mitigating Cybercrime

In the digital age, the complexity of cyber threats has escalated, necessitating more sophisticated cybersecurity approaches. Artificial Intelligence (AI) and Natural Language Processing (NLP) have become essential in strengthening cybersecurity measures, offering advanced capabilities in areas such as threat detection, predictive analysis, and defence against adversarial tactics. AI systems that integrate NLP are particularly effective at analysing large volumes of data, allowing them to identify and mitigate cyber threats in real-time. These technologies play a crucial role in detecting phishing schemes, forecasting potential cyberattacks, and countering adversarial activities. Nevertheless, incorporating AI and NLP into cybersecurity frameworks is not without its challenges, including concerns about data privacy, vulnerability to adversarial attacks, ethical issues, and substantial implementation costs. Despite these challenges, the future of cybersecurity is likely to be heavily shaped by developments in AI and NLP, with promising advancements anticipated in quantum-resistant AI, AI-supported human decision-making, and fully autonomous security systems. This paper delves into the role of AI and NLP in cybersecurity, examining their advantages, challenges, and potential future developments, while highlighting the importance of ongoing research and ethical considerations in the deployment of these technologies. We plan to conduct a comprehensive analysis of data collected from a range of published research papers. This in-depth examination will enhance our understanding and provide valuable insights into the subject matter, enabling us to draw more accurate and informed conclusions.