Fingerprint Expanded Platform for AI Traffic Management
The company launched new tools to verify and manage automated AI agents and assistants interacting with web traffic.
Updated on Sept. 29, 2026 in Artificial Intelligence
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FingerprintJS Inc. has released a suite of tools, including the Fingerprint MCP Server and the Automation Intelligence API, to identify and manage autonomous AI agents. These capabilities are designed to verify legitimate AI traffic from sources like OpenAI and AWS AgentCore without relying on client-side JavaScript.
Why it matters
As organizations increase their reliance on autonomous AI, the need to distinguish legitimate, authorized agents from unauthorized scrapers and fraud has grown. These tools provide a framework to secure web infrastructure as companies shift from public AI tools to governed, multi-agent systems.
The Automation Intelligence API identifies traffic by analyzing claimed user-agent, originating IP address, reverse DNS, and network information. It serves as an alternative to methods requiring client-side JavaScript, which are often bypassed by sophisticated automated agents.
The players
FingerprintJS Inc.
A provider of device identification and fraud intelligence software that operates across web and mobile application stacks.
theCUBE Research
An industry research organization that tracks enterprise technology deployment and adoption patterns.
The details
The newly released Fingerprint MCP Server acts as an interface that allows authorized AI assistants to query specific device signals and fraud intelligence. The Automation Intelligence API functions at the content delivery network edge, middleware, or backend to classify traffic. Authorized AI Agent Detection uses cryptographic verification to validate traffic from specific platforms, while AI Assistant Detection monitors HTTP traffic from systems like ChatGPT, Gemini, and Claude.
Timeline
September 29, 2026: Fingerprint expanded its platform with new AI security tools.
2025: theCUBE Research conducted its AI Builder Summit research.
Next 18 months: 60.5% of organizations expect to deploy autonomous AI agents.
The Tech Race
This release follows a pattern of infrastructure development aimed at securing the transition from public, unmanaged AI tools to governed, enterprise-wide deployments identified by theCUBE Research. It positions Fingerprint to capture market share as organizations move toward the 50.9% adoption rate projected for multi-agent systems.
Developers and security teams can now implement the Fingerprint MCP Server to integrate fraud detection directly into AI workflows. The Automation Intelligence API is currently available in preview, allowing organizations to classify automated traffic before broad enterprise-wide rollout.
The takeaway
Security teams should prepare for a hybrid environment where legitimate AI agents and malicious bots share the same network channels. Watch for upcoming benchmarks on how the Automation Intelligence API performs against high-volume, multi-agent automated systems.
Further reading
For more on how infrastructure is evolving to support autonomous systems, visit /tech/artificial-intelligence/.
Source note: This article includes information reported by SiliconANGLE.
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