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Symity - the Microsoft Teams Experts — 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
punksecurity.co.uk ↗	70 match 1 shared topics	Punk Security - The DevSecOps experts	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
carpiorenzo.com ↗	69 match 1 shared topics	Renzo Carpio \| Senior Consultant @ Microsoft \| Cybersecurity Expert	en	information-and-network-security	robotsllmsaihumans	emailphone	none
digitalbunker365.com ↗	68 match 1 shared topics	Managed Microsoft 365 Security \| DigitalBunker365	US~ en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
365assessment.com ↗	67 match 1 shared topics	365 Security Assessment \| SSPM for Microsoft 365	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
365securityassessment.com ↗	67 match 1 shared topics	365 Security Assessment \| SSPM for Microsoft 365	en	information-and-network-security	robots llmsaihumans	emailphone	none
vanhybrid.com ↗	67 match 1 shared topics	Microsoft 365 Security - Microsoft 365 Security	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
365labs.cloud ↗	67 match 1 shared topics	365labs - Microsoft 365 and cyber security consultancy	en	information-and-network-security Squarespace	robotsllmsaihumans	emailphone	none
defend365.ai ↗	66 match 1 shared topics	Defend 365 — Microsoft 365 Security Posture Management	en	information-and-network-security	robotsllmsaihumans	emailphone	none
validatesecure.com ↗	66 match 1 shared topics	ValidateSecure \| Security Validation & Purple Team Experts	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aether365.io ↗	66 match 1 shared topics	Aether365 - Microsoft 365 Security: Read-only Access or Let the AI Pilot Fix	en	information-and-network-security	robots llmsaihumans	emailphone	none
diversesynergy.com ↗	66 match 1 shared topics	Firewall Experts	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
accesssecurityblog.com ↗	66 match 1 shared topics	Access Security Blog \| A broad view of security in Microsoft Access.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
usgsec.com ↗	66 match 1 shared topics	USG Security - Walter Soriano Security Experts Company	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
avvsftechexperts.com ↗	66 match 1 shared topics	Home \| VSF Tech Experts	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
defendermailguard365.com ↗	66 match 1 shared topics	MailGuard 365, AI-powered email security for businesses using Microsoft Office 365	en	information-and-network-security	robotsllmsaihumans	emailphone	none
famousfinish.com ↗	66 match 1 shared topics	Microsoft Security Administration \| MSA	en	information-and-network-security	robotsllmsaihumans	emailphone	none
advsec.tech ↗	66 match 1 shared topics	ADVsec – Cybersecurity & Digital Risk Experts	en	information-and-network-security	robotsllmsaihumans	emailphone	none
auxin.io ↗	66 match 1 shared topics	Auxin Security - Auxin	en	information-and-network-security WordPress	robots llmsaihumans	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.