Safeguarding digital societies: The convergence of data engineering and cybersecurity

Chandra, Amarnath Reddy (2025) Safeguarding digital societies: The convergence of data engineering and cybersecurity. World Journal of Advanced Research and Reviews, 26 (1). pp. 927-936. ISSN 2581-9615

Data engineering and cybersecurity convergence have become essential for protecting sensitive information in our hyperconnected world. As organizations face increasingly sophisticated cyber threats, traditional security approaches prove insufficient. This article explores how advanced data engineering practices transform cybersecurity through real-time threat detection, big data analytics, regulatory compliance solutions, and emerging technologies. By leveraging sophisticated data pipelines, machine learning algorithms, graph databases, and analytics platforms, organizations can identify and neutralize threats before they cause significant damage. The integration of these technologies enables faster detection times, reduced false positives, and more efficient incident response. From Zero-Trust architectures to federated learning, quantum-safe cryptography, and edge computing security, data engineering continues to reshape how organizations approach cybersecurity, making it a foundational element for effective defense strategies in an increasingly uncertain digital landscape.