Bot Traffic Is Getting Smarter: Identifying AI Agents In The Wild

AI agents are increasingly interacting with web applications, making it difficult to distinguish between legitimate automation and malicious activity. As these agents mimic human behavior and bypass traditional controls like CAPTCHAs, organizations face growing challenges in detecting fraud and enforcing trust.

The content examines how identity-based approaches can improve AI agent detection and control. It covers limitations of traditional bot detection, common fraud patterns such as credential stuffing and data scraping, and the role of cryptographic verification in identifying authorized agents. Attendees will gain insight into applying least-privilege access and policy enforcement to reduce risk while maintaining seamless user and agent interactions.