The research explores the influence of Human-Centered Artificial Intelligence on the usage intention of AI agents. Agentic AI refers to autonomous systems that are capable of pursuing complex objectives and delivering outcomes with minimal human intervention. The researchers focused particularly on the impact of security, privacy, and ethical risks on the intention to use AI agents, specifically in the context of high-involvement AI-driven products. The study adopts a 2 (high automation vs. low automation) × 2 (high personal control vs. low personal control) between-subjects factorial design, with a central focus on the application of AI agents in a Threat Intelligence System. Preliminary results indicate that personal control serves as a mediating factor in the relationship between automation and usage intent. Notably, the findings suggest that a combination of high (versus low) automation and high (versus low) personal control enhances the intention to adopt AI agents in high-involvement AI products, such as Threat Intelligence Systems. These insights underscore the critical balance between automation and user agency, highlighting the importance of designing AI systems that empower users while addressing concerns related to security, privacy, and ethical considerations.