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Fingerprint Tackles the Rise of Agentic AI With New Signals

  • Fingerprint introduces four new features that help enterprises distinguish between legitimate and malicious automated web traffic
  • Companies can now protect against payment fraud while preserving legitimate transactions in agentic commerce
  • New features address the growing challenge as bots comprise over half of internet traffic, with 30% classified as malicious

CHICAGO--(BUSINESS WIRE)--Fingerprint, a leader in device intelligence for fraud prevention, account security, and returning user experience optimization, today announced new Smart Signals and platform enhancements that detect malicious bots and AI agents, distinguishing them from legitimate automated traffic. As agentic commerce experiences explosive growth and autonomous AI agents become increasingly sophisticated, enterprises need advanced tools to protect against evolving fraud schemes without delaying innovation or turning away legitimate transactions.

Bots currently comprise over half of all internet traffic, with 30% classified as malicious, and Gartner predicts fully autonomous AI agents by 2036. This creates a critical challenge for businesses to differentiate between beneficial automation and malicious activity. Fingerprint's new Smart Signals address this challenge by providing real-time risk indicators based on a device's behavior, environment and configuration to enable enterprises to make better-informed decisions.

"Bots and AI agents represent both the biggest current risk and the fastest-evolving threat landscape we've seen," said Dan Pinto, CEO and co-founder of Fingerprint. "As agentic AI technology advances rapidly and becomes more cost-effective, malicious actors are increasingly leveraging these tools for sophisticated fraud. Fingerprint’s new Smart Signals ensures enterprises can harness the benefits of AI while maintaining robust defenses against malicious bots and agents that threaten essential business operations."

Fingerprint Smart Signals and Features for Enterprises: 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.

The Rise of Intelligent Automation Demands Smarter Security for Enterprises

As legitimate AI agents become more common for business operations—from AI assistants that handle scheduling and repetitive tasks to agentic commerce where agents research and purchase products on users' behalf—the ability to differentiate between beneficial and malicious automation has become a critical industry requirement. With these new enhancements from Fingerprint, organizations can gain comprehensive visibility into visitor intent, enabling proactive defense against evolving attack patterns.

The new Smart Signals and features are available immediately and are designed to integrate seamlessly with existing Fingerprint implementations. For more information about Fingerprint's bot and AI agent detection capabilities, please read the full article.

About Fingerprint

Fingerprint, powered by the most accurate device fingerprinting technology, enables companies to reduce fraudulent transactions, strengthen account security, and improve customer lifetime value. Fingerprint processes 100+ signals from the browser, device and network to generate a stable and persistent unique VisitorID that can be used to understand visitor behavior. With a commitment to best-in-class data security and privacy, Fingerprint is proud to be SOC 2 Type II, GDPR and CCPA compliant. Fingerprint is trusted by over 6,000 companies worldwide, including 16% of the top 500 websites, to help catch sophisticated fraudsters and personalize experiences for trusted users. Learn more at fingerprint.com.

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Media Contact
Treble
McKenzie Covell
fingerprint@treblepr.com

Fingerprint


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Contacts

Media Contact
Treble
McKenzie Covell
fingerprint@treblepr.com

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