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Identifying agentic traffic without blocking real customers

Solution Category Fraud Prevention
Type Webinar
Organization Fingerprint
Event Format Company Webinar

Webinar Description

Key Takeaways

  • One-hour technical workshop on distinguishing AI agents from malicious bots and human users in web traffic
  • Includes live coding demonstration using real AI agent sessions, including Meta’s Muse
  • Covers server-side automation policy creation and Suspect Score for risk assessment
  • Aimed at developers, security engineers, fraud analysts and product managers in e-commerce and financial services
  • Addresses the balance between blocking abuse and preserving legitimate customer experiences

The Challenge of Agentic Traffic

AI agents are increasingly interacting with web applications on behalf of real customers, signing in, browsing and completing purchases without always identifying themselves. Traditional bot-blocking approaches treat all automation as hostile, but this strategy risks disrupting legitimate user experiences when AI agents act as authorised proxies for genuine customers. Blocking everything creates friction and customer churn, while allowing everything invites abuse and fraud.

About the Workshop

This virtual workshop, hosted by Fingerprint, demonstrates how to build a server-side automation policy layer capable of differentiating between humans, legitimate AI agents and malicious bots. The session includes live coding with real AI agent sessions, featuring Meta’s Muse as a practical example. Participants will see how identity verification and Suspect Score can be used to separate risky unknown traffic from automated activity that represents genuine customers.

Technical Focus Areas

  • Identification techniques for AI agents, bots and human users
  • Server-side policy creation for nuanced traffic management
  • Risk assessment using Suspect Score
  • Fraud prevention strategies that minimise friction for legitimate users

Who Should Attend

The workshop is designed for developers and engineers working on security, fraud prevention or traffic management, as well as security architects, fraud analysts and product managers. Organisations in financial services and e-commerce facing pressure to balance security with customer experience will find the content particularly relevant.