The role of AI and machine learning in cybersecurity: Advancements in threat detection, anomaly detection and automated response

• DOI: 10.30574/ijsra.2025.14.2.0542
• Publication Date: 2025-02-28T14:12:32Z
• Authors: Aminat Bolaji Bello; Akeem Olakunle O...; Awobelem A. George; Olabode Anifowose

The increasing complexity and frequency of cyber threats have prompted organizations to seek more sophisticated defense mechanisms. Traditional signature-based methods manual threat-hunting processes often fall short against evolving malware, zero-day exploits, social engineering techniques. Artificial Intelligence (AI) Machine Learning (ML) emerged as pivotal tools, enabling automated threat detection, real-time anomaly analysis, proactive incident response. This review synthesizes current research practices related AI-driven cybersecurity, examining supervised unsupervised learning for AI-powered real-world industrial applications. discussion also explores ethical considerations such adversarial AI bias, concluding with future directions that include quantum-safe cryptography, AI-augmented security operations centers, the integration blockchain enhanced cybersecurity.