Fingerprint, a company specializing in device intelligence for fraud prevention and user experience optimization, has recently introduced new features to enhance its platform. These updates aim to help businesses combat malicious bots and AI agents effectively.

New Features from Fingerprint

To address the growing challenge of bot traffic and sophisticated autonomous AI, Fingerprint has developed several new tools. As a significant portion—over 50%—of internet traffic is now attributed to bots, with nearly 30% being malicious, these updates are crucial for safeguarding operations without hindering innovation.

• Bot Detection Smart Signal: This tool intelligently classifies each API request to distinguish between legitimate and malicious bots or agents.
• Virtual Machine Detection Smart Signal: This feature enhances bot detection by identifying virtual machines often used in fraudulent activities, adding an extra layer of security against advanced attack methods.
• Residential Proxy Detection: Users can now detect residential proxies and mitigate agent-driven fraud more effectively.
• Request Filtering: Fingerprint collects known user agents utilized by AI companies for web scraping or model training, as well as those supporting repetitive tasks. This filtering capability ensures that legitimate AI agents and bots are excluded from fingerprinting to reduce costs without compromising detection capabilities for fraudulent activities.

By adopting these improvements, organizations can gain better visibility into visitor intent, enabling proactive defense against emerging threats. These new features are currently available, seamlessly integrating with existing Fingerprint implementations.