The discussion around "AI agents" and "agentic AI" often centers on the semantics rather than substantive differences, as both terms essentially describe AI systems with the capability to operate autonomously. "AI agents" typically refer to individual software entities performing specific tasks, while "agentic AI" suggests a broader paradigm of autonomous AI behavior. Despite the nuances in terminology—where "agentic AI" is a more recent term gaining popularity in business environments—both terms converge on the core concept of agency. While some argue that these distinctions can influence funding and adoption, the primary focus should remain on the practical applications and capabilities of AI with agency, such as in customer service, scheduling, and workflow automation. The effective implementation of these systems necessitates robust security and privacy measures, emphasizing the importance of identity and access management to prevent potential risks, with companies like Descope offering solutions to secure these AI systems.