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AzureIR - Stop Identity Threats Before They Become Breaches — 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
defenseware.org ↗	72 match 1 shared topics	Defenseware — Stop threats before they compile.	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
defend365.io ↗	69 match 1 shared topics	Defend 365 – Stop Microsoft 365 threats before they happen	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
0block.org ↗	67 match 1 shared topics	0block — We break it before they do. \| Offensive Security & Penetration Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
joinsafience.com ↗	67 match 1 shared topics	Safience \| Identity management for Threats and Victims	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
usewultra.com ↗	66 match 1 shared topics	Wultra \| Digital Identity for Today and the Quantum Era	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
axidian.com ↗	66 match 1 shared topics	Axidian: Identity Security Solutions	en	information-and-network-security	robotsllmsaihumans	email phone	none
cyberiam.blog ↗	66 match 1 shared topics	CyberSec & IAM Blog - Security Insights & Identity Management	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sanctuscybersecurity.com ↗	66 match 1 shared topics	Find Out Before They Do \| Sanctus Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
axiad.ai ↗	66 match 1 shared topics	Axiad - Trusted Identity. At the speed of now.	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
axiad.com ↗	66 match 1 shared topics	Axiad - Trusted Identity. At the speed of now.	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
avistar.ai ↗	66 match 1 shared topics	Avistar \| Machine identity security, delivered through your MSP	en	information-and-network-security	robotsllmsaihumans	emailphone	none
avistarsecurity.com ↗	66 match 1 shared topics	Avistar \| Machine identity security, delivered through your MSP	en	information-and-network-security	robotsllmsaihumans	emailphone	none
defender.net ↗	66 match 1 shared topics	Enterprise 2FA Solutions \| Defender \| One identity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
digitalidentity.ltd.uk ↗	66 match 1 shared topics	Digital Identity Ltd	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
1ity.com ↗	66 match 1 shared topics	1ITY - Your Universal Digital Key \| Unified Secure Identity Platform	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
synthreats.com ↗	66 match 1 shared topics	SynThreats \| Advanced Cyber Threat Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
decentralisedwallet.org ↗	66 match 1 shared topics	dewa - Secure Digital Identity Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
urbanid.ai ↗	66 match 1 shared topics	UrbanID - Identity Management	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.