What to Look For in Bot & Agent Trust Management Software: 7 Key Capabilities

Businesses are increasingly encountering a challenge known as the agentic commerce problem, where AI traffic comprises both beneficial and potentially harmful agents. Useful AI agents assist customers and enhance business operations, while others may engage in malicious activities such as content theft or fraud. A significant portion of AI agents, 80% according to DataDome's threat research team Galileo, fail to properly identify themselves, complicating the detection of legitimate versus harmful interactions. To address this, businesses are encouraged to adopt bot and agent trust management software, which provides real-time visibility, control, and classification of AI agent interactions. By implementing such platforms, companies can manage agent traffic through various capabilities, including agent verification, intent-based detection, Model Context Protocol (MCP) protection, and dynamic access controls. Additionally, monetization of high-value content through differential pricing for AI agent access can present new revenue opportunities. DataDome offers a comprehensive solution that integrates these features, aiming to balance support for legitimate agents with protection against potential abuses.