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This paper proposes CPSAINT, a seven-layer integrity decomposition for agentic AI systems, paired with FRIESA-K, a residual-risk functional based on absorbing Markov models. It bridges structural failure path analysis with quantified risk estimates, demonstrating the framework on warehouse robotics and financial-services agent scenarios.