Sarcouncil Journal of Applied Sciences Aims & Scope

Abstract: Artificial Intelligence-powered risk mitigation frameworks are revolutionizing cybersecurity defense strategies across multiple sectors. These advanced systems leverage sophisticated machine learning algorithms to detect, assess, and neutralize emerging threats while maintaining operational continuity. The integration of AI-driven security measures has transformed traditional reactive approaches into proactive defense mechanisms, particularly evident in critical sectors like healthcare. Through automated threat simulation, intelligent risk prioritization, and real-time response capabilities, these frameworks demonstrate superior effectiveness in protecting digital infrastructure and sensitive data. The implementation of ethical governance protocols ensures responsible automation while maintaining human oversight in critical decision-making processes. In healthcare environments, these systems have proven instrumental in safeguarding medical devices, protecting patient data, and ensuring uninterrupted clinical operations. The evolution of these frameworks continues to accelerate, with quantum-resistant cryptography integration and enhanced autonomous capabilities pointing toward a more resilient cybersecurity future. The demonstrated improvements in threat detection, incident response times, and operational efficiency establish AI-powered frameworks as essential components of modern security architecture.