Journal of Artificial Intelligence, Applications and Innovations 3060-7124 1 Journal of Artificial Intelligence, Application and Inovations 2024 01 01 The Role of Artificial Intelligence in Predicting Cyber Attack Patterns and Offering Solutions to Mitigate Attacks in ISMS Compliant Environments The Role of Artificial Intelligence in Predicting Cyber Attack Patterns and Offering Solutions to Mitigate Attacks in ISMS Compliant Environments 14 29 10.61838/jaiai.1.4.2 EN Journal Article 2024 05 28 <p>This research investigates the efficiency of Artificial Intelligence (AI) techniques in forecasting cyberattack trends and contrasts their performance with traditional approaches in environments compliant with ISO/IEC 27001. Using simulation-based evaluations, various AI algorithms including Neural Networks, Random Forests, Support Vector Machines, and Bayesian Networks were tested alongside conventional threat detection methods such as signature-based detection and heuristic analysis. The results demonstrate that AI-driven methods surpass traditional ones in several critical metrics. Neural Networks achieved the highest detection accuracy of 97.0% and delivered the fastest incident response times at 1.2 seconds, outperforming traditional techniques that exhibited lower accuracy and slower response. Additionally, AI-based anomaly detection models like Isolation Forests successfully identified emerging attack patterns with superior detection rates and faster processing times. Bayesian Network models also provided enhanced risk assessments, aligning more closely with ISO/IEC 27001 compliance requirements compared to classical methods. Although AI solutions involve higher upfront costs, they offer improved cost-effectiveness and overall performance over the long term. This study highlights the significant benefits of integrating AI into cybersecurity frameworks, emphasizing its role in advancing threat detection, response efficiency, risk management, and regulatory adherence.</p> https://www.journalaiai.com/index.php/aiai/article/download/67/24