Risk Mitigation in System Migrations: A Framework for Secure Coding, Data Encryption, and Regulatory Compliance
DOI:
https://doi.org/10.63282/3050-9262.IJAIDSML-V3I3P107Keywords:
Secure coding, Data encryption, Compliance gap analysis, Risk mitigation, Enterprise IT security, System migration, Regulatory compliance, SDLC security, Secure software development, Homomorphic encryption, Confidential computing, SIEM integration, Threat modeling, Secure development lifecycle, Governance risk and compliance (GRC)Abstract
In today’s high-risk cybersecurity landscape, enterprises must adopt a multi-layered approach to safeguard systems, ensuring resilience against evolving threats. This article explores best practices in secure coding, data encryption, and compliance gap analysis, critical pillars for IT leaders managing complex infrastructures. Secure coding mitigates vulnerabilities through input validation, authentication controls, and automated code scanning, reducing exposure to exploits like SQL injection and XSS. Data encryption, including AES-256 and TLS 1.3, protects sensitive information at rest, in transit, and in use, with robust key management ensuring long-term security. Compliance gap analysis aligns systems with NIST, GDPR, and HIPAA through risk assessments [11-12], control mapping, and continuous monitoring, enabling proactive remediation. For seasoned professionals overseeing large-scale migrations and system optimizations, integrating these strategies strengthens security postures while maintaining regulatory adherence. By implementing these practices, enterprises can enhance threat resilience, streamline compliance, and future-proof their IT ecosystems against emerging cyber challenges
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