Post-Quantum Cryptography Readiness: Cybersecurity Strategies for the Quantum Computing Era
Santosh Kumar Jadala
Quantum computing is no longer a distant concern for cybersecurity planning. Its progress has raised serious questions about the long-term reliability of widely used public-key cryptographic systems, especially RSA, elliptic curve cryptography, and related key exchange mechanisms that currently protect digital communication, cloud services, financial transactions, government systems, and enterprise information assets. The main concern is that powerful quantum algorithms could weaken the mathematical assumptions on which these systems depend, creating future risks for encrypted data, digital signatures, identity systems, and secure network protocols (Shor, 1994; Mosca, 2018). Post-quantum cryptography has therefore become a major cybersecurity readiness priority, not only as a technical replacement for vulnerable algorithms, but as a broader organizational migration challenge. Effective preparation requires cryptographic asset inventory, risk classification, crypto-agility, vendor coordination, interoperability testing, and phased deployment across complex information systems (Kumar, 2022; Campbell, 2025). This article examines the cybersecurity implications of quantum computing and reviews the major post-quantum cryptographic algorithm families, current standardization efforts, enterprise migration barriers, and strategic readiness measures needed for the quantum computing era. It also discusses the importance of aligning post-quantum migration with existing cybersecurity governance, information systems management, and long-term digital resilience planning. By emphasizing early preparation, structured migration, and continuous cryptographic governance, the article argues that organizations can reduce future quantum-related exposure and strengthen the security of critical digital infrastructure before large-scale quantum attacks become practical (NIST, 2024; NCCoE, 2025).
International Journal of Emerging Trends in Computer Science and Information Technology•Jan 1, 2026•0 citations