aceArtificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms
Abstract The integration of artificial intelligence (AI) and machine learning (ML) into cybersecurity has driven a transformational shift, significantly enhancing the ability to detect, respond to, and mitigate complex cyber threats. Traditional defense mechanisms are increasingly inadequate against sophisticated attacks, necessitating the adoption of AI-driven security solutions. This review paper presents a novel, in-depth analysis of state-of-the-art AI and ML techniques applied to intrusion detection, malwar…
AI and ML integration into cybersecurity improves detection, response, and mitigation of sophisticated cyber threats across intrusion detection, malware classification, and threat intelligence.
Paper notes remaining limitations and that effectiveness depends on continued innovation and robustness, indicating unresolved gaps in AI-powered cybersecurity.
Evidence
- Peer-reviewedKnowledge and Information Systems2025-04-30
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Truvace Impact Record TRV-2026-0533, v1: “Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms.” Truvace, 2026-07-24. /record/TRV-2026-0533 (accessed at citation time). sha256 5d6c211684a7618a…
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