Next-Gen Endpoint Security with AI: Challenges and Solutions

Author(s)	Sandeep Phanireddy
Country	United States
Abstract	Endpoint security has become a critical piece of modern cyber defense, especially as companies adopt remote work models and handle sensitive data across vast networks. Traditional antivirus solutions are no longer enough to thwart sophisticated attacks, prompting the rise of AI-powered endpoint protection platforms. This paper explores the capabilities of Zscaler, Carbon Black, CrowdStrike, and open-source solutions in securing endpoints. We discuss how these tools incorporate machine learning, anomaly detection, and threat intelligence to block and contain breaches in real time. Key use cases and architectural considerations are presented, alongside formulas for detection thresholds and diagrams illustrating multi-layer protection. Finally, we address future challenges, such as adversarial AI and the expanding threat landscape, to highlight what lies ahead for endpoint security.
Keywords	Endpoint Security, Zscaler, Carbon Black, CrowdStrike, AI, Machine Learning, Zero Trust, Open Source, Future Challenges
Field	Engineering
Published In	Volume 3, Issue 12, December 2022
Published On	2022-12-06
DOI	https://doi.org/10.5281/zenodo.14960370
Short DOI	https://doi.org/g86v5r

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