The article analyzes the tasks and challenges of managing complex corporate networks that arise during the migration from a perimeter-based security model to a Zero Trust Architecture (ZTA). It is established that neglecting these issues may lead both to a decline in service quality within microsegmented network infrastructures and to increased risks associated with the excessive complexity of firewall rules.
This paper presents a framework for automating software development security using a Security as Code approach enhanced with a multi-agent artificial intelligence system. The research addresses the limitations of traditional DevSecOps practices by deploying specialized AI agents to perform static code analysis, generate and enforce security policies, and monitor system behavior. The architecture integrates security throughout the CI/CD pipeline and runtime, enabling autonomous decision-making, adaptability to threats, and reduced developer overhead.