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Facesearcher alternatives & similar sites

Facial Recognition: Ethically Enabling a Safe and Secure Society - Allevate — 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
faicetech.com ↗	68 match 1 shared topics	FaiceTech: Enterprise Facial Recognition, Done Responsibly	United Kingdom~ en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
facecard.dev ↗	68 match 1 shared topics	FaceSmash — Sign in with your face \| Passwordless facial recognition login	en	information-and-network-security	robots llmsaihumans	emailphone	none
ongaurd.com ↗	65 match 1 shared topics	OnGuard – Secure Protection & Safety Solutions	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	partial · 8
declarative.io ↗	65 match 1 shared topics	declarative IT - Securing and Scaling Mac in Business	en	information-and-network-security	robotsllmsaihumans	emailphone	none
broadcastsystemsinc.com ↗	65 match 1 shared topics	Home \| Broadcast Systems video security lpr cabling access control	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
3jlloginbr.com ↗	65 match 1 shared topics	3JLlogin - Your Gateway to Secure and Seamless Online Account Management	en	information-and-network-security	robotsllmsaihumans	emailphone	none
7seas-sec.com ↗	65 match 1 shared topics	Seven Seas Security - Appsec Pentesting and Beyond	en	information-and-network-security Squarespace Magento	robotsllmsaihumans	emailphone	none
danielggraham.com ↗	65 match 1 shared topics	Daniel G. Graham Ph.D – Creating a More Secure and Connected World	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
davaosecurity.com ↗	65 match 1 shared topics	Davao Cyber Security - SOC, SIEM, cloud security operations, compliance, vulnerability assessments, ethical hacking services by Blue and Red Teams.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
henilgandhi.com ↗	65 match 1 shared topics	Henil Gandhi \| Cybersecurity Engineer & Ethical Hacker	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mediasafeguard.com ↗	65 match 1 shared topics	Media Safeguard™ \| Secure Digital Storage	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cognyte.com ↗	65 match 1 shared topics	Cognyte \| Actionable Intelligence for a Safer World™	en	information-and-network-security WordPress	robots llms aihumans	emailphone	none
spsecuresystem.com ↗	65 match 1 shared topics	Home - SP SECURE SYSTEM	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
3gisecure.com.pe ↗	65 match 1 shared topics	3G ISecure \| Ethical Hacking y Ciberseguridad	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ethicsfirst.org ↗	65 match 1 shared topics	EthicsfIRST: Ethics for Incident Response and Security Teams	en	information-and-network-security	robotsllmsaihumans	emailphone	none
alluresecurity.com ↗	65 match 1 shared topics	Brand Protection & Phishing Takedown Services - Allure Security	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
cybersecurity.sydney ↗	65 match 1 shared topics	Cybersecurity Society Sydney University	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
hssgroupinc.com ↗	64 match 1 shared topics	security and training \| protection \| secure \| cybersecurity	en	information-and-network-security WordPress WooCommerce	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.