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Safience | Identity management for Threats and Victims — 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
urbanid.ai ↗	75 match 1 shared topics	UrbanID - Identity Management	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dfsme.ae ↗	71 match 1 shared topics	ID Card Printers & Identity Management \| DFSME	AE en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
baar-id.com ↗	70 match 1 shared topics	BAAR Technologies \| Identity & Access Management Solutions	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
baarautomation.com ↗	70 match 1 shared topics	BAAR Technologies \| Identity & Access Management Solutions	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
baartechnologies.com ↗	70 match 1 shared topics	BAAR Technologies \| Identity & Access Management Solutions	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cyberiam.blog ↗	70 match 1 shared topics	CyberSec & IAM Blog - Security Insights & Identity Management	en	information-and-network-security	robotsllmsaihumans	emailphone	none
fawnoos.com ↗	69 match 1 shared topics	Fawnoos \|\| Open-Source Digital Identity and Access Management Consulting Services	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
usecertguard.com ↗	69 match 1 shared topics	CertGuard - SSL Certificate Management for ISPs	en	information-and-network-security	robotsllmsaihumans	emailphone	none
administrative-services.com ↗	69 match 1 shared topics	Administrative Services Group — Enterprise Identity & Access Management	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
samyoga.ai ↗	68 match 1 shared topics	Samyoga — Continuous Threat & Exposure Management	en	information-and-network-security	robotsllmsaihumans	emailphone	none
360wiam.com ↗	68 match 1 shared topics	360WIAM – Identity & Access Management Experts	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bcyber.live ↗	68 match 1 shared topics	BCyber - Cybersecurity Risk Management for Australian Organisations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
derlinea.com ↗	68 match 1 shared topics	Delinea Identity Security and Privileged Access Management	US~ en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
cyberx.pro ↗	68 match 1 shared topics	Firewall Change Management - CyberX	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	email phone	none
didit.me ↗	68 match 1 shared topics	Didit, One API for identity and fraud	en	information-and-network-security	robots llms aihumans	emailphone	none
ctem.org ↗	68 match 1 shared topics	Open Taxonomy for Continuous Threat Exposure Management \| CTEM.org	en	information-and-network-security	robots llmsaihumans	emailphone	none
hasmug.com ↗	68 match 1 shared topics	HASMUG – Houston Area Security & Management User Group	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
accuratecybersecurity.com ↗	68 match 1 shared topics	Cyber security standard Certificate UK \| IT Security Management System	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.