Sumsub has launched AI Agent Verification, a solution aimed at integrating AI-driven automation with verified human identities within its Know Your Agent (KYA) framework.

This method tackles the increasing difficulty businesses face in differentiating genuine automated activities from fraudulent behavior.

As AI agents and browser-based automations spread across various sectors, platforms often categorize all automation as risky, thereby blocking it by default. Sumsub’s approach reverses this stance, considering automation as a manageable risk. By associating AI actions with verified individuals, businesses can facilitate legitimate automated processes while deterring illicit activities. This arrangement ensures clear accountability and allows for safe operation of automation without compromising security.

How AI Agent Verification Functions

AI Agent Verification recognizes automated activity, evaluates its risk, and implements additional checks only when necessary. In high-risk scenarios, it may request a liveness test to ensure that a real human is authorizing the actions of an AI agent. This measure prevents deepfakes or other AI-driven manipulations from circumventing controls, ensuring every automated action is linked to a verified person.

The system employs Sumsub’s comprehensive verification tools such as:

• Device Intelligence and Bot Detection: detects automated activity and assesses its risk in real time.
• Mule Network Prevention: monitors device and network patterns to identify coordinated fraud across accounts and sessions.
• Liveness Verification: confirms the presence of a human during critical actions like onboarding, account changes, or high-value transactions.
• Risk Scoring and Monitoring: continuously evaluates behavioral and contextual signals to allow automation to proceed, be restricted, or challenged based on risk assessment.

According to Sumsub’s 2025–2026 Identity Fraud Report, AI-driven fraud is escalating sharply, with multi-step coordinated attacks increasing by 180% year-over-year. AI agents are now frequently utilized for automated transactions in fintech, payments, e-commerce, and ticketing, making automation an almost indispensable business tool.

Automation itself poses no inherent problem; the challenge lies in anonymity. Fraud prevention becomes more difficult when AI agents operate without a verified human behind them. AI Agent Verification addresses this issue by mandating human accountability where automation could otherwise be exploited.

By linking AI agents to real, verified identities, Sumsub enables organizations to embrace automation while maintaining robust fraud prevention measures. Businesses can now confidently allow efficiency-enhancing AI activities, knowing that every action is traceable to a verified human operator.