Modernizing government DevSecOps with artificial intelligence

Artificial intelligence (AI) and machine learning present remarkable opportunities for enhancing efficiency and fostering innovation in government agencies. However, challenges related to legacy systems, security risks, and legislative gaps continue to hinder modernization efforts. By integrating AI with DevSecOps processes, development teams can strengthen code security and address these concerns. Furthermore, blending AI capabilities with human intelligence allows for a more comprehensive approach to security, ensuring that government operations are both future-proof and resilient against emerging threats.

Current state: Exploring AI across the software development lifecycle

Federal agencies are increasingly exploring AI adoption to improve productivity by automating complex tasks in the software development process. However, agencies face hurdles such as outdated procurement laws, a shortage of skilled professionals, and the challenge of bridging the gap between modern digital solutions and legacy systems. These challenges highlight the need for evolving DevOps practices to support AI's role in government operations.

According to research, 67% of security professionals in government agencies find it challenging to get development teams to prioritize remediation of security issues.

Future vision: Embracing AI for enhanced DevSecOps

Looking ahead to 2025 and beyond, AI is expected to become integral to federal government operations, particularly in streamlining the development lifecycle, identifying and addressing potential security risks, and modernizing legacy systems. AI-driven automation will allow agencies to move their focus from routine tasks to strategic initiatives, addressing inefficiencies and managing increased customer demand. Anticipated policy changes will align AI advancements with ethical standards and data privacy, ensuring responsible AI adoption. Additionally, AI will enhance secure software development by proactively identifying security issues and streamlining incident response, driving a new era of government efficiency and smarter cybersecurity.

What comes next?

AI and machine learning are already automating routine tasks, enabling DevSecOps teams to dedicate more time to strategic initiatives, continuous improvement, and the enhancement of software development processes. As AI evolves, it will become a key partner for development teams across all stages of the software development lifecycle, augmenting their capabilities and enhancing productivity. This will drive significant improvements in government operations and security. Through thoughtful modernization efforts and integration, AI can transform public sector service delivery, creating a secure, efficient, and innovative foundation for transformation that better meets citizen needs.

Presently, AI plays a crucial role in enhancing efficiency and driving digital transformation across federal agencies. As we look ahead to 2025 and beyond, AI is poised to advance these applications, further embedding itself in government operations and helping agencies build secure software, faster.

Read the full whitepaper for a deep dive into the current and future role of AI and machine learning in federal government DevSecOps, focusing on its evolution in critical areas like incident response, security risks, and modernization strategy.