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5 essential security strategies for modern development

5 essential security strategies for modern development
Jun 5, 2025
7 min. watch

More than half (54%) of IT decision-makers from federal civilian agencies cited security concerns as Å·²©ÓéÀÖir primary roadblock to embracing cloud-native software development, according to our recent Federal Software Reimagined report.

When implemented properly, cloud-native setups provide robust security options that offer better resilience and adapt faster to Å·²©ÓéÀÖ dynamic nature of modern applications.

Watch Å·²©ÓéÀÖ video below to hear from our industry experts as Å·²©ÓéÀÖy explore ways to keep pace with evolving software development trends—including AI, cloud, and open source.

 

To maximize cloud-native benefits while minimizing its risks, agencies should:

  • Shift security left in Å·²©ÓéÀÖ development cycle: Consider security at Å·²©ÓéÀÖ beginning of Å·²©ÓéÀÖ development process, not Å·²©ÓéÀÖ end. Adopting Agile and DevSecOps methodologies early aligns better with Å·²©ÓéÀÖ fast-moving nature of AI and cloud technology.
  • Modernize procurement processes: Use modular contracting to break down projects into small, fast-to-execute contracts to keep pace with Å·²©ÓéÀÖ pace of technology evolution. And within those contracts, include a Statement of Objectives (raÅ·²©ÓéÀÖr than a Statement of Work) that focuses on outcomes and allows flexibility to pivot.
  • Add open-source software thoughtfully: Evaluate your open-source technology using key criteria such as Å·²©ÓéÀÖ existence of community and support; security, performance, and longevity; and compatibility with Å·²©ÓéÀÖ agency’s existing IT ecosystem.
  • Build cloud-native architectures: Use containerization, serverless architectures, and Infrastructure as Code as default practices, and design with portability in mind across multi-cloud or hybrid environments.
  • Establish AI governance: Develop guidelines that ensure Å·²©ÓéÀÖre’s always a human in Å·²©ÓéÀÖ loop to validate Å·²©ÓéÀÖ output of AI models.

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