Fingerprint, a leader in device intelligence for fraud prevention, account security, and returning user experience optimization, has announced new Smart Signals and platform enhancements. These updates are designed to accurately detect malicious bots and AI agents, distinguishing them from legitimate automated traffic.
The introduction of these capabilities comes as agentic commerce experiences significant growth and autonomous AI agents become increasingly sophisticated. Enterprises are facing a critical need for advanced tools to protect against evolving fraud schemes without hindering innovation or rejecting valid transactions. Currently, bots account for over half of all internet traffic, with 30% identified as malicious. Industry analysis, such as Gartner’s prediction of fully autonomous AI agents by 2036, highlights the escalating challenge businesses face in discerning beneficial automation from harmful activity. Fingerprint’s new Smart Signals address this by providing real-time risk indicators based on a device’s behavior, environment, and configuration, enabling more informed decision-making for enterprises.
Dan Pinto, CEO and co-founder of Fingerprint, stated, “Bots and AI agents represent both the biggest current risk and the fastest-evolving threat landscape we’ve seen. 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 ensure enterprises can harness the benefits of AI while maintaining robust defenses against malicious bots and agents that threaten essential business operations.”
The new Smart Signals and features available to enterprises include:
* **Bot/AI Agent Detection Smart Signal:** This 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:** This feature enhances AI agent and bot detection by identifying virtual machines, which are frequently used in automated fraud schemes. This provides an additional layer of protection against sophisticated attack vectors.
* **Residential Proxy Detection:** This capability addresses a challenging aspect of modern fraud detection. Residential proxies are increasingly accessible and affordable, allowing fraudsters to mask their IP addresses. Since agentic traffic can be routed through internet service providers to real residential IP addresses, giving malicious agents high authenticity, the ability to detect residential proxies with confidence is crucial for identifying all types of agentic-driven fraud.
* **Request Filtering:** Fingerprint has compiled a list of known user agents employed by AI companies for web scraping and model training, as well as AI assistants for scheduling and other repetitive tasks. The Request Filtering functionality allows customers to exclude these legitimate AI agents and bots from fingerprinting, optimizing billing costs without compromising the detection of AI-driven fraud.
As legitimate AI agents become more prevalent for business operations, from AI assistants handling tasks to agentic commerce, the capacity to differentiate between beneficial and malicious automation has become a fundamental industry requirement. Fingerprint’s enhancements aim to provide organizations with 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.
Fingerprint’s technology, powered by its device fingerprinting capabilities, supports companies in reducing fraudulent transactions, strengthening account security, and improving customer lifetime value. It processes over 100 signals from the browser, device, and network to generate a stable and persistent unique VisitorID for understanding visitor behavior. Committed to best-in-class data security and privacy, Fingerprint is SOC 2 Type II, GDPR, and CCPA compliant. The company is trusted by over 6,000 organizations globally, including 16% of the top 500 websites, to help identify sophisticated fraudsters and personalize experiences for trusted users.
