DISTRIBUTED AI-ASSISTED RISK ASSESSMENT FOR ZERO-TRUST MICROSERVICES: A TAXONOMY AND CONCEPTUAL FRAMEWORK
This paper proposes a conceptual framework for distributed, AI-assisted risk assessment designed to address the gap between conventional vulnerability management and distributed systems, and outlines key open challenges— data, robustness, performance, consistency, explainability, and evaluation.