Secure Software Development In Biotech: Integrating Application Security And Sdlc Best Practices

Abstract

In the rapidly evolving landscape of biotechnology, where software platforms are increasingly integral to genomic analysis, diagnostics, and data-driven research, ensuring secure software development is critical. This study investigates the integration of application security and Software Development Life Cycle (SDLC) best practices within the biotech sector. Using a mixed-methods approach, the research combines case studies from leading biotech firms with survey data from 150 industry professionals to assess how security is embedded across SDLC phases and its impact on software resilience. Descriptive statistics, Pearson correlation, ANOVA, and regression analyses reveal that higher SDLC maturity significantly reduces vulnerability counts, incident frequency, and Mean Time to Detect (MTTD), while also enhancing regulatory compliance. Secure coding adherence, threat modeling, and automated testing emerged as key predictors of reduced software flaws. A heatmap of security tool adoption highlights widespread usage of SAST and DAST during implementation and testing, though earlier phases such as design remain underutilized. The findings emphasize the strategic importance of adopting a security-by-design approach in biotech software development. By embedding robust security protocols throughout the SDLC, biotech organizations can safeguard sensitive data, meet regulatory standards, and accelerate innovation with confidence. This research advocates for a comprehensive, lifecycle-based security model tailored to the unique demands of the biotech industry.