aceBridging Domains: Advances in Explainable, Automated, and Privacy-Preserving AI for Computer Science and Cybersecurity
Artificial intelligence (AI) is rapidly redefining both computer science and cybersecurity by enabling more intelligent, scalable, and privacy-conscious systems. While most prior surveys treat these fields in isolation, this paper provides a unified review of 256 peer-reviewed publications to bridge that gap. We examine how emerging AI paradigms, such as explainable AI (XAI), AI-augmented software development, and federated learning, are shaping technological progress across both domains. In computer science, AI…
Peer-reviewed synthesis finds AI-enabled cybersecurity defenses reduce successful breaches by up to 30% in real-world deployment contexts.
Review notes persistent limitations in fairness, adversarial robustness, and sustainability of large-scale training despite reported breach-reduction benefits.
Evidence
- Peer-reviewedComputers2025-09-08
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Truvace Impact Record TRV-2026-1307, v1: “Bridging Domains: Advances in Explainable, Automated, and Privacy-Preserving AI for Computer Science and Cybersecurity.” Truvace, 2026-10-07. /record/TRV-2026-1307 (accessed at citation time). sha256 ccb6cc114c634cf9…
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