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Automated input tools that simulate mouse and keyboard actions (e.g., Robotsoft Automatic Mouse and Keyboard) are widely used for accessibility, testing, and productivity but are also repurposed for fraud, automation abuse, and policy violations. This paper examines the technical capabilities of such tools, threat models for misuse, methods for detecting and mitigating malicious automation at the OS and application levels, ethical and legal considerations, and recommendations for developers and defenders. We present a taxonomy of usage patterns, a detection framework combining behavioral heuristics and low-level telemetry, and a case study simulating realistic misuse scenarios to evaluate detection efficacy.