Press & Media Kit

Resources for journalists, researchers, and publishers covering online fraud, scam prevention, and consumer protection.

About ScamSecurityCheck

ScamSecurityCheck is an AI-powered scam detection platform that helps everyday people identify fraudulent texts, emails, phone numbers, URLs, and images in real time. The scanner analyzes suspicious content against a live database of community-reported scam patterns, federal fraud alerts, and behavioral manipulation indicators.

Our intelligence comes from Reddit scam communities, FBI IC3 public service announcements, FTC consumer alerts, AARP fraud reports, and direct user submissions. The platform aggregates over 38 tracked entities — phone numbers, domains, and keywords — across 20+ documented scam patterns. We publish educational content, run a searchable scam pattern database, and provide free tools designed for people with no technical background.

Key Stats

5+
Scans run to date
20+
Documented scam patterns
38+
Tracked scam entities

Data & Research

We have aggregated data on scam trends, platform distribution, age demographics, and emerging threats. Journalists and researchers can request anonymized data for stories, studies, and industry reports. We also provide expert quotes on scam trends, AI-generated fraud, elder fraud, and consumer protection topics.

For data requests and interview inquiries, email: press@scamsecuritycheck.com

Founder

CD

Courtney Delaney

Founder, ScamSecurityCheck

Courtney Delaney founded ScamSecurityCheck to close the gap between fast-evolving fraud tactics and the tools everyday people have to defend themselves. She is available for commentary on scam trends, AI-enabled fraud, deepfake detection, elder fraud protection, and emerging threats in the consumer protection space.

Available for: interviews, expert quotes, panel discussions, podcast appearances

Brand Assets

Brand Colors

#10b981
Primary (Emerald)
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Accent (Purple)
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Highlight (Pink)

Usage: The ScamSecurityCheck logo and name may be used in editorial coverage with attribution. For commercial or partnership use, please contact us first.

Guest Post Inquiries

We contribute guest posts to consumer protection sites, cybersecurity blogs, and financial literacy publications. Topics we cover include:

  • AI-enabled scam tactics and how to spot them
  • Elder fraud protection and family safety strategies
  • Deepfake detection for consumers
  • Cryptocurrency scam analysis and recovery
  • Behavioral psychology of scam victims
  • Emerging platform-specific fraud patterns

Standard length: 1,000-1,500 words. We provide original data, examples, and source-backed claims. Content is tailored to your audience.

Inquiries: press@scamsecuritycheck.com

Recent Coverage

Coverage links will appear here as they go live.

Get in Touch

For press inquiries, data requests, interviews, and guest post pitches:

press@scamsecuritycheck.com