Backgrounder

What is Backgrounder

Backgrounder is an AI-powered scam detection and verification service backed by human security experts, designed to enhance family safety.

How to use Backgrounder

1. Access the "Ask Carmen™" feature on the platform.
2. Input the information you want to verify: paste text, upload screenshots, or describe the situation.
3. Initiate a "Run a Check" to get an analysis.
4. For more complex situations or if you suspect a scam, you can submit details like screenshots, numbers, messages, or links for review.

Features of Backgrounder

• AI-powered scam detection
• Verification by human security experts
• Fast checks (under 30 seconds for some analyses)
• Ability to check messages, people, businesses, and online interactions
• Case management
• Scam type identification
• "Ask Carmen™" AI scam analyst

Use Cases of Backgrounder

• Verifying suspicious messages, people, businesses, and online interactions.
• Checking if a text message, email, or website is a scam.
• Investigating potential romance scams, investment scams, business email compromise, online shopping scams, tech support scams, impersonations, bank fraud, extortion, and IRL/local scams.
• Getting help if a loved one has lost money or shared personal information due to a scam.
• Reviewing suspicious offers or situations.

FAQ

What is Backgrounder™ and how does it work?

Backgrounder helps verify if someone you are communicating with is who they claim to be. You can paste a message, upload a screenshot, or describe the situation for a quick check. It combines AI technology with experienced human security researchers to verify suspicious messages, profiles, offers, and websites, providing clarity and confidence before you act.

Is my information kept private?

Yes, privacy is a top priority. Industry-standard security practices are used to ensure systems are safe. Refer to the Privacy Policy for full details on data collection, use, and sharing.

How accurate are the scam detection results?

The AI system is trained on millions of scam patterns, achieving high accuracy. However, users should use their judgment alongside the analysis. The system is tested with real people and simulated scenarios to reduce false positives and ensure continuous improvement.