Paper Title
Navigating the AI-Powered Threat Landscape: Strategies for Robust GRC in 2025
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Registration ID: IJNRD_303649
Published ID: IJNRD2502001
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Keywords
Artificial Intelligence, Cybersecurity, Governance, Risk, Compliance, Machine Learning, Threat Detection, Data Privacy, Blockchain, Federated Learning
Abstract
As we look ahead to 2025, the intersection of artificial intelligence and cybersecurity is creating a landscape full of both promise and peril for organizations' Governance, Risk, and Compliance strategies. The cybersecurity world is witnessing a surge in AI-powered threats that are pushing traditional security measures to their limits. We're seeing sophisticated phishing campaigns that can mimic trusted sources with uncanny accuracy, malware that adapts on the fly to avoid detection, and deepfakes so convincing they can fool even the most discerning eyes. These evolving threats are exposing the weaknesses in our current defenses. Old-school methods like signature-based detection and static rule systems are struggling to keep up with the rapid-fire changes in attack strategies. It's clear that we need a new playbook. That's where this white paper comes in. We're diving deep into how organizations can build robust GRC frameworks that can stand up to these AI-driven challenges. We'll explore how AI itself can be a powerful ally in threat detection, using machine learning to sift through mountains of data in real-time, spotting the needle-in-a-haystack anomalies that could signal a breach. We're also looking at cutting-edge tech like blockchain to create tamper-proof audit trails and federated learning that allows for collaborative defense without compromising sensitive data. And because AI in security isn't just a tech issue, we're tackling the thorny ethical questions and regulatory hurdles that come with it, offering a roadmap for responsible AI governance in the cybersecurity realm.
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How To Cite (APA)
Sahil Dhir, Gurleen Kaur, Suman Deep, Keyur Rajyaguru, & Dimple Gajra (February-2025). Navigating the AI-Powered Threat Landscape: Strategies for Robust GRC in 2025. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 10(2), a1-a10. https://ijnrd.org/papers/IJNRD2502001.pdf
Issue
Volume 10 Issue 2, February-2025
Pages : a1-a10
Other Publication Details
Paper Reg. ID: IJNRD_303649
Published Paper Id: IJNRD2502001
Research Area: Science and Technology
Author Type: Foreign Author
Country: Ashburn, VA, United States
Published Paper PDF: https://ijnrd.org/papers/IJNRD2502001.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2502001
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