MOUNT DORA, Fla., March 24, 2026 (GLOBE NEWSWIRE) -- Spur Intelligence today announced new enhancements to its IP intelligence platform, designed to give security and fraud teams deeper visibility into anonymized infrastructure and the ability to make informed decisions on risky user sessions in real time. New capabilities include AI service identification, a new policy API for real-time user session decisions, and enhanced geographic infrastructure insights.
As AI-driven automation and anonymization technologies proliferate across the internet, organizations face growing challenges in distinguishing legitimate user activity from traffic routed through VPNs, proxies, data centers, and emerging AI infrastructure. Fraudsters and attackers increasingly rely on these services to obscure their origins, bypass regional restrictions, automate account creation, and evade detection. Without reliable context around the infrastructure behind an IP address, security and fraud teams struggle to make accurate risk decisions without introducing friction for legitimate users.
Spur addresses this challenge by expanding the visibility and control organizations have over the infrastructure behind internet traffic. The new capabilities enable teams to better understand when traffic originates from anonymization or AI-related infrastructure and to make decisions based on that intelligence in real time.
“The infrastructure behind internet traffic is evolving rapidly, especially with the growth of AI services and increasingly sophisticated anonymization tools,” said Kevin Hickey, CEO of Spur. “Security and fraud teams need to understand not just the IP address they’re seeing, but the infrastructure and services behind it. These new capabilities help organizations identify AI-associated traffic, understand how anonymization infrastructure is distributed globally, and take action in real time without disrupting legitimate users.”
Key capabilities include:
- AI Service Identification – Spur now identifies infrastructure associated with major AI platforms, helping organizations distinguish AI service–related traffic from traditional consumer or enterprise networks, reducing ambiguity in investigations and informing appropriate responses to automated activity. The initial rollout includes identification of infrastructure linked to providers such as OpenAI, Anthropic, Mistral AI, and Perplexity AI.
- Real-Time Policy API for Monocle Session Assessments – A new policy API enables organizations to make decisions based on IP intelligence attributes, enabling teams to block or challenge connections from anonymized services such as VPNs, proxies, datacenters, or remote desktop infrastructure while maintaining granular controls to reduce unnecessary user friction.
- Enhanced Geographic Infrastructure Visibility – Updated geographic presence visualizations show where anonymization services concentrate exit nodes globally, helping organizations better understand infrastructure distribution and potential regions where malicious traffic may blend with legitimate users.
Together, these updates help Spur customers move from infrastructure visibility to enforcement, enabling more precise detection of automated and anonymized activity while maintaining a seamless experience for legitimate users.
Visit the website to learn more about these new capabilities or sign up for a free Spur account to get full and immediate access to high-fidelity IP intelligence.
About Spur Intelligence
Spur delivers the highest-fidelity IP intelligence available to detect anonymized, proxied, or otherwise obscured internet traffic, empowering you to stop fraud, fake users, and threats. Designed by expert security researchers and engineers, Spur elevated VPN attribution, bot detection, and residential proxy tracking to protect the most mission-critical government and commercial systems in the world.
Media Contact
Jennifer Tanner
Look Left Marketing
spur@lookleftmarketing.com
A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/b229aa12-876a-4beb-9c85-c8ea96380b78
