Optimizing it Program Management in the ERA of AI-driven Cybersecurity Solutions

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Kumar Saurabh

Abstract

As organizations increasingly digitize their operations, the importance of robust cybersecurity strategies has never been greater. With the growing complexity of cyber threats, traditional IT program management strategies are proving insufficient to address modern security challenges. Artificial Intelligence (AI)-driven cybersecurity solutions have emerged as a transformative force in optimizing IT program management by enhancing the ability to detect, respond to, and predict cybersecurity threats in real-time. This article explores the role of AI in reshaping IT program management, focusing on how AI technologies such as machine learning (ML), deep learning (DL), and behavioral analytics can be integrated into IT infrastructures to provide more proactive and efficient cybersecurity measures. AI-driven solutions offer numerous advantages, including the automation of threat detection, predictive risk management, and faster response times to security incidents. By analyzing vast amounts of data at high speeds, AI systems can identify emerging threats, vulnerabilities, and potential risks that may otherwise go undetected by traditional security measures. However, while AI technologies offer significant potential, their integration into existing IT management frameworks presents challenges. These include the complexity of AI algorithms, data privacy concerns, and the need for specialized expertise in deploying and maintaining these systems. Additionally, AI systems are vulnerable to adversarial attacks that can manipulate their performance, raising concerns about the robustness of these tools in high-stakes cybersecurity environments. This article examines both the opportunities and challenges associated with AI in IT program management, highlighting key areas such as threat detection, incident response, and risk management. Through a review of existing literature and real-world case studies, the article provides insights into how AI-driven solutions are improving organizational security and operational efficiency. Finally, the article offers recommendations for IT managers seeking to integrate AI into their cybersecurity frameworks, emphasizing the need for continuous monitoring, ongoing staff training, and a strategic approach to AI deployment to ensure long-term success.

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How to Cite
Saurabh, K. (2023). Optimizing it Program Management in the ERA of AI-driven Cybersecurity Solutions. SAMRIDDHI : A Journal of Physical Sciences, Engineering and Technology, 15(03), 391-396. https://doi.org/10.18090/samriddhi.v15i03.17
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