Fingerprint introduces updated Smart Signals and enhancements to its platform.

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Fingerprint, a provider of device intelligence for fraud prevention and optimizing user experiences, has recently introduced new Smart Signals along with platform enhancements to tackle malicious bots and AI agents.

Addressing the Growth in Autonomous Commerce Experiences

As agentic commerce experiences continue to scale, sophisticated autonomous AI agents pose increased challenges for businesses. To help enterprises navigate these complexities without stifling innovation or legitimate transactions, Fingerprint has upgraded its systems.

The decision to upgrade comes amid growing concerns about internet traffic, where bots account for over 50% of all traffic, with roughly 30% classified as malicious. According to Gartner’s predictions, fully autonomous AI agents will become a reality by 2036. These advancements highlight the need for robust tools that can distinguish between beneficial automation and potential threats.

Key Features of Fingerprint’s Upgrades

Fingerprint now offers several Smart Signals to address these challenges, including:

  • Bot Detection Smart Signal: This feature can identify bot detection and browser automation tools. It intelligently classifies each API request to determine the legitimacy of a bot or agent.
  • Virtual Machine Detection Smart Signal: By recognizing virtual machines, commonly used in automated fraud schemes, this capability provides an additional layer of protection against advanced cyber threats.
  • Residential Proxy Detection: This enables users to spot residential proxies and mitigate agent-driven fraud more effectively.
  • Request Filtering: Fingerprint collects a list of known user agents used by AI companies for web scraping, model training, and supporting repetitive tasks. This functionality allows customers to filter out legitimate AI agents and bots from fingerprinting, thereby improving billing efficiency without compromising detection capabilities for AI-driven fraud.

These upgrades enable organizations to gain deeper insights into visitor intent, helping them proactively defend against evolving cyber threats. The new features are already available and can be easily integrated with existing Fingerprint implementations.

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