CUJO AI, a global provider of network intelligence and cybersecurity solutions for network service providers (NSPs), has unveiled new network-level scam detection capabilities aimed at tackling the growing threat of crypto investment fraud. The solution is designed to address scams that often evade traditional protections built into individual apps and platforms.
Crypto investment scams have become increasingly sophisticated, operating across multiple services, websites, and communication channels. This fragmented structure makes them difficult to detect through conventional security tools. According to recent estimates, global losses from crypto-related fraud reached approximately $17 billion in 2025, with a significant portion of victims being everyday users rather than institutional investors. Unlike traditional financial scams, these schemes rely heavily on tactics such as rotating fraudulent websites, wallet-based transactions, and coordinated social engineering campaigns across messaging apps and online platforms. Because no single platform has full visibility into these activities, detecting such threats requires a broader, more integrated approach.
CUJO AI’s latest innovation addresses this gap by leveraging the network layer where traffic from multiple sources converges to identify suspicious patterns. By analyzing infrastructure signals and behavioral indicators across domains and services, the platform can uncover scam activity that may otherwise go unnoticed. Chris Turner, Chief Product Officer at CUJO AI, noted that crypto scams are intentionally designed to bypass individual platforms. He emphasized that the network layer provides a unique vantage point where these fragmented activities can be connected and analyzed more effectively.
The new capabilities enhance CUJO AI’s existing network security portfolio, which already includes features such as safe browsing, infrastructure-level threat blocking, behavioral analytics, and protection against compromised devices. Phishing detection has long been part of its offering, and the extension into crypto scam detection reflects the evolving use of similar threat signals in more complex attack scenarios. Importantly, CUJO AI’s approach is designed to complement not replace existing security measures. It focuses on identifying the subset of threats that only become visible when activity spans multiple platforms and services.
The enhanced solution is now available to CUJO AI’s network service provider partners, collectively safeguarding over 30 million households across North America and Europe. As crypto scams continue to scale in both volume and sophistication, network-level visibility is emerging as a crucial layer in protecting consumers from financial exploitation.
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