AI and Machine Learning in a Strategic Approach to Operational Excellence and Risk Mitigation
Keywords:
Artificial Intelligence (AI), Machine Learning (ML), Risk Mitigation.Abstract
As the digital landscape evolves, so too does the complexity and frequency of cyber threats, underscoring the need for more advanced and adaptive security frameworks. Artificial Intelligence (AI) and Machine Learning (ML) are emerging as transformative technologies in the cybersecurity space, offering innovative solutions for threat detection, prediction, and mitigation. This paper explores how AI and ML are reshaping the cybersecurity field, particularly in the context of government and large-scale organizational networks. By enabling real-time threat detection, predictive analytics, automated responses, and continuous system adaptation, AI and ML are improving both the efficiency and effectiveness of cybersecurity measures. However, the integration of these technologies comes with challenges such as susceptibility to adversarial manipulation, the need for skilled professionals, and regulatory and ethical concerns. This paper also examines the role of AI in enhancing threat intelligence, mitigating risks, and improving decision-making processes. The research aims to provide an overview of the benefits, challenges, and future prospects of AI in cybersecurity, focusing on how it can help organizations proactively address the evolving cyber threat landscape while navigating the ethical and operational complexities involved.
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