Formal Verification Theory for AI-Driven Autonomous Defense Systems

This paper investigates how the formal verification methods handle AI autonomous defense system usage through current industry trends. AI deployment within military operations shows a changing trend that makes current standard system verification approaches inadequate to maintain secure system performance. The paper evaluates model checking and theorem proving methods and their combination for AI component verification in addition to their advantages and limitations. The essay examines major concerns about AI system models through insights into operational timing constraints together with AI system complexity and indeterminate characteristics and threats to cybersecurity capabilities. Edge computing technologies applied to IoT systems introduce new validation requirements that need distributed system-specific approaches. This paper examines how measuring performance and blockchain-based architecture verification collectively enhance system protection through discussion of goal and objectives.