• Menu
  • Skip to right header navigation
  • Skip to main content
  • Skip to primary sidebar

DigiBanker

Bringing you cutting-edge new technologies and disruptive financial innovations.

  • Home
  • Pricing
  • Features
    • Overview Of Features
    • Search
    • Favorites
  • Share!
  • Log In
  • Home
  • Pricing
  • Features
    • Overview Of Features
    • Search
    • Favorites
  • Share!
  • Log In

Fingerprint’s platform can help identify all types of agentic-driven fraud by detecting residential proxies which are increasingly accessible and affordable, and commonly used by fraudsters looking to mask their IP addresses

July 17, 2025 //  by Finnovate

Fingerprint announced new Smart Signals and platform enhancements that detect malicious bots and AI agents, distinguishing them from legitimate automated traffic: Bot/AI Agent Detection: Bot Detection Smart Signal can detect dozens of bot detection and browser automation software tools. It performs intelligent classification on each API request to determine whether a bot or agent is legitimate or malicious, with only verified beneficial bots and agents classified as trustworthy. Virtual Machine Detection Smart Signal further enhances AI agent and bot detection by identifying virtual machines, which are commonly used in automated fraud schemes. This capability provides an additional layer of protection against sophisticated attack vectors. Residential Proxy Detection addresses one of the most challenging aspects of modern fraud detection. Residential proxies are increasingly accessible and affordable, making them attractive tools for fraudsters looking to mask their IP addresses. Because agentic traffic can be routed through ISPs to real residential IP addresses—giving malicious agents high authenticity—the ability to detect residential proxies with confidence levels is crucial for identifying all types of agentic-driven fraud. Request Filtering: Fingerprint has gathered a list of known user agents used by AI companies for web scraping and model training, as well as AI assistants that help with scheduling and other repetitive tasks. The Request Filtering functionality allows customers to filter out these legitimate AI agents and bots from fingerprinting, helping optimize billing costs without compromising detection capabilities for AI-driven fraud.

Read Article

Category: Cybersecurity, Innovation Topics

Previous Post: « Billtrust’s AI-driven Collections solution combines credit and collections in a single workflow enabling ongoing credit monitoring and management and letting teams adjust limits, block or unblock customers, and launch new applications from a centralized dashboard
Next Post: Nacha’s Payments Innovation Alliance’s educational video on quantum computing urges for industry-wide collaboration and transitioning to quantum-resistant cryptographic methods to ensure secure and resilient payments ecosystem »

Copyright © 2025 Finnovate Research · All Rights Reserved · Privacy Policy
Finnovate Research · Knyvett House · Watermans Business Park · The Causeway Staines · TW18 3BA · United Kingdom · About · Contact Us · Tel: +44-20-3070-0188

We use cookies to provide the best website experience for you. If you continue to use this site we will assume that you are happy with it.