Agentic commerce, driven by autonomous AI agents, is expected to become prevalent by 2036, with major retailers like Amazon and Walmart already utilizing AI agents for improving product discovery and recommendations. However, the rise of AI agents coincides with the increasing threat of bots, which constitute about 50% of internet traffic, with 30% being malicious. Fingerprint focuses on distinguishing between benign and malicious agents, particularly in the context of payment fraud, by employing a multi-signal approach that offers real-time data to prevent fraud while allowing legitimate transactions. Their Bot Detection Smart Signal and Virtual Machine Detection Smart Signal enhance the identification of harmful bots and virtual machines often used in fraud, while the Request Filtering feature helps filter out known AI bots to reduce costs. Additionally, the Residential Proxy Detection Smart Signal targets the detection of residential proxies, which are commonly used in fraudulent activities, providing a critical tool in combating agentic-driven fraud. These solutions are designed to integrate with existing Fingerprint systems, offering businesses advanced tools to counteract the evolving landscape of AI agent and bot interactions.