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Techagainstscams alternatives & similar sites

Tech Against Scams Coalition | United Front Against Scams — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Information And Network Security →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
cybersecuritycoalition.org ↗	66 match 1 shared topics	Cybersecurity Coalition	en	information-and-network-security	robotsllmsaihumans	email phone	none
dive25.com ↗	66 match 1 shared topics	DIVE V3 — Coalition ICAM Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybangel.net ↗	65 match 1 shared topics	The All-in-One Solution Against External Threats \| CybelAngel	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cybangel.org ↗	65 match 1 shared topics	The All-in-One Solution Against External Threats \| CybelAngel	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cybelangel.net ↗	65 match 1 shared topics	The All-in-One Solution Against External Threats \| CybelAngel	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cybelangel.org ↗	65 match 1 shared topics	The All-in-One Solution Against External Threats \| CybelAngel	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
nabihtech.com ↗	65 match 1 shared topics	NABIH Tech - Phishing Detection \| نبيه تك	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1stsec.com ↗	64 match 1 shared topics	SOC reports \| 1st Secure Compliance \| United States	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
silversavvytech.net ↗	64 match 1 shared topics	Silver Savvy Tech \| Senior Tech & Scam Prevention DFW	United States~ en	information-and-network-security	robots llmsaihumans	email phone	none
globalcorrectionalsystems.com ↗	64 match 1 shared topics	Prison Control Systems \| Global Correctional Systems \| United States	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
cystack.net ↗	64 match 1 shared topics	CyStack \| Fight Against Cyber Threats	Vietnam~ en	information-and-network-security	robotsllmsaihumans	email phone	none
defendalliance.com ↗	64 match 1 shared topics	Defend Alliance - Premier Cybersecurity Distribution \| Toronto, Canada	en	information-and-network-security	robotsllmsaihumans	emailphone	none
abetterwaytoshred.com ↗	64 match 1 shared topics	Paper Shredders\| Protect Against Identity Theft With Shredders \| GBC	en	information-and-network-security X-Cart	robotsllmsaihumans	emailphone	none
delta6ssg.com ↗	64 match 1 shared topics	Delta Six Strategic Services Group \| Security \| United States	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
dnswl.org ↗	64 match 1 shared topics	dnswl.org – E-Mail Reputation – Protect against false positives	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
globalguard.com ↗	64 match 1 shared topics	GlobalGuard - Protect against advanced cyber threats with our suite of enterprise-grade cyber security solution.	Australia~ en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
cycop.net ↗	64 match 1 shared topics	On the front lines to protect your businessproactive defender against cyber threats	en	information-and-network-security	robotsllmsaihumans	emailphone	none
zkdocs.com ↗	64 match 1 shared topics	Introduction \| ZKDocs	en	information-and-network-security	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.