02/18/2026
💔 Love shouldn’t come with a catch.
As we lean into the season of connection, it's important to remember that not every online "match" has your best interests at heart. Romance scams are sophisticated ploys where fraudsters pose as love interests to build trust—only to lead victims into financial ruin through phishing, money mule schemes, or real-time payment fraud.
At DataVisor, we are committed to helping individuals and organizations stay ahead of these evolving threats.
👁️🗨️ Common Tactics to Watch For:
- Catfishing
Imposters use attractive photos and compelling backstories to lure victims into online-only relationships.
- Military & Long-Distance Scams
Fraudsters claim to be traveling or deployed overseas, using their "location" as an excuse for why they can't meet—and why they suddenly need money for "emergencies".
- Pig Butchering
A slow-play tactic where scammers "fatten up" victims by encouraging cryptocurrency investments before stealing everything and disappearing.
- Blackmail & Extortion
Scammers may pressure victims into sharing explicit content, only to use it as leverage for financial gain.
🚩 Red Flags for Your Radar:
- Love Bombing
- The "Perfect" Persona
- The Pivot to Crypto
- Avoidance
- Urgency
- Unsolicited Links
- Inconsistency
🛡️ How DataVisor Protects the Ecosystem
Detecting these scams requires more than just looking at a profile. Our AI-powered platform uses advanced techniques to catch fraudsters in real-time:
➡️ 360 User Profiling & Anomaly Detection: Identifying sudden changes in location or interaction frequency that signal a compromised account.
➡️ Device Fingerprinting: Tracking the technical "DNA" of devices to uncover fraudulent networks.
➡️ Geospatial Analysis: Spotting discrepancies between where a user claims to be and where their digital activity actually originates.
Explore our comprehensive Wiki for more insights on spotting, avoiding, and preventing romance scams.
🔗 https://hubs.li/Q043z1DB0
Romance scams are a particularly manipulative and damaging digital fraud. Learn what they are, how to spot and avoid them, and how institutions can prevent them.