infrastructure
Alberta Government Uses Claude AI to Secure and Modernize Systems
The Government of Alberta has employed Claude AI models to review, identify vulnerabilities, and modernize its extensive digital infrastructure, significantly reducing security risks and technical debt.
AS1 NewsSource: anthropic.com
Since 2025, Alberta's Ministry of Technology and Innovation has utilized Claude Code alongside Opus and Sonnet models to analyze its vast codebase, which includes over 466 million lines of code across 1,280 applications and 3,400 repositories. This initiative aims to enhance cybersecurity, reduce maintenance costs, and modernize legacy systems. The AI-driven process enabled the team to complete what would traditionally take over six years in just 20 hours, identifying security gaps and automating fixes, including rewriting outdated code in modern languages.
The project involved deploying specialized AI agents that simulate attack scenarios and assess system defenses, ensuring continuous security monitoring. Additionally, Alberta has published white papers sharing its methodology, aiming to serve as a blueprint for other governments facing similar challenges. The initiative also includes training government employees and the public in AI applications through the Alberta AI Academy.
This effort highlights the potential of AI to transform government cybersecurity and software modernization, setting a precedent for other public sector entities worldwide. The use of Claude models demonstrates how AI can significantly accelerate security assessments and system upgrades, potentially influencing future government policies and AI deployment strategies.
While the immediate impact is on Alberta’s digital infrastructure, the broader implication suggests that AI-driven security and modernization tools could become standard practice across government agencies globally, improving efficiency and security in handling sensitive data.
This case exemplifies how AI can enhance government cybersecurity and modernization efforts, potentially influencing policy and technology adoption in the public sector.