Independence
ScamGuard verdicts are never influenced by advertising, sponsorship, affiliate deals or commercial relationships. No business can pay to be marked safe, to suppress a report, or to be removed from our community scam database.
Sourcing
Every published verdict is supported by at least one of the following:
- Direct AI analysis of the artifact (message text, image, URL, voice clip).
- Verified community reports submitted by ScamGuard users.
- Open-source threat intelligence (WHOIS, DNS, certificate transparency, public blocklists).
- Official statements from banks, brands, platforms or law-enforcement agencies.
Writing standards
- Plain language first — guides must be understandable by someone with no security background.
- Specific red flags must be named, not implied.
- Numbers, dates and quotes are checked against their primary source before publication.
- AI-generated drafts are reviewed by a human editor before going live.
Bylines and review
Editorial pages and scam guides carry a byline crediting the ScamGuard Security Research Team and a "Reviewed by ScamGuard AI Research Team" line where applicable. Each page shows the last-updated date.
Updates and corrections
ScamGuard updates guides and verdicts when new evidence becomes available. Substantive corrections are noted at the bottom of the affected page with the date of change. If you believe a page is inaccurate, contact us via the contact pagewith the URL and the specific claim in question.
User-generated content
Community submissions (reported numbers, messages, screenshots) are moderated. We remove content that contains personal identifying information about uninvolved third parties, targeted harassment, or unverifiable accusations against named individuals.
AI use disclosure
ScamGuard uses large language models to assist in scam detection and to draft initial explanations of verdicts. AI outputs are treated as a starting point, not a final authority — every public-facing classification can be appealed and reviewed by a human.