Citation:

Srikanth Chakravarthy Vankayala, 2026. Agentic AI-Driven Quality Engineering for Continuous Compliance and Adaptive Test Automation  Volume 6 Issue 2: 158-163.

Abstract:

The increasing complexity of modern enterprise software systems, regulatory requirements, and continuous delivery environments has created significant challenges in maintaining software quality, compliance governance, and scalable test automation. Traditional quality assurance methodologies often rely on static testing strategies, manual compliance validation, and rule-based automation frameworks that struggle to adapt to rapidly evolving application ecosystems.

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Keywords:

Agentic AI, Quality Engineering, Continuous Compliance, Adaptive Test Automation, Autonomous Testing Systems, Artificial Intelligence in Software Testing, Intelligent Quality Assurance, Policy-Aware AI, Autonomous AI Agents, Self-Governing Quality Systems, AI-Driven Test Automation, Compliance Automation, Continuous Quality Engineering