Fingerprint Expanded Platform for AI Traffic Management
The company launched new tools to verify AI agents and manage automated traffic across digital networks.
Updated on Sept. 29, 2026 in Artificial Intelligence
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FingerprintJS Inc. has expanded its platform with new security tools designed to verify authorized AI agents and identify AI-driven web traffic. The release includes the Automation Intelligence API and the Fingerprint MCP Server, which enable secure interaction between AI assistants and device intelligence data.
Why it matters
Blocking all automation risks disrupting legitimate AI-driven interactions, yet blindly trusting AI claims creates security openings for scraping and fraud. These tools allow organizations to distinguish between authorized AI agents and malicious automated traffic without relying on client-side JavaScript.
The Automation Intelligence API identifies automated traffic using originating IP addresses, reverse DNS, and network information. It operates at the content delivery network edge, in middleware, or on the backend to classify traffic without client-side JavaScript.
The players
FingerprintJS Inc.
This company provides device intelligence and fraud detection software to businesses worldwide.
theCUBE Research
This organization conducts industry research and analysis on technology infrastructure and artificial intelligence trends.
The details
Authorized AI Agent Detection cryptographically verifies agents from platforms including OpenAI, AWS AgentCore, and Claude. Additionally, the Fingerprint MCP Server allows authorized AI assistants to query device signals and fraud events directly.
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 development marks a pivot from legacy bot detection toward managing a landscape defined by the 2025 AI Builder Summit findings on autonomous agent deployment. As organizations shift from public tools to governed AI architectures, managing the identity of autonomous agents has become a critical operational requirement.
Businesses can now better secure their digital platforms against malicious scraping while maintaining seamless access for legitimate AI tools. This reduces the risk of service disruption for end users interacting with advanced automated systems.
The takeaway
Organizations should prepare for a future where multi-agent systems are standard, as over half of companies currently plan for this adoption. Effective AI management requires verifying the identity of agents rather than simply blocking automated traffic.
Further reading
Learn more about the evolving landscape of Artificial Intelligence.
Source note: This article includes information reported by SiliconANGLE.
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