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Inform Lab alternatives & similar sites

INFORM Lab - UNBC — 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
ssllabs.com ↗	65 match shared topic	Qualys SSL Labs	en	information-and-network-security	robotsllmsaihumans	emailphone	none
27labs.com ↗	65 match shared topic	27LABS - Home of CYBERsitter and Other Internet Security Products	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ip2location.com ↗	65 match shared topic	IP Address to IP Location and Proxy Information \| IP2Location	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hitrustalliance.net ↗	65 match shared topic	Cybersecurity Risk Management and Information Protection \| HITRUST	United States~ en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
securityindustry.org ↗	65 match shared topic	Security Industry Association (SIA) - Information. Insight. Influence.	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
virtru.com ↗	65 match shared topic	Data Security Platform for Email, Files and Collaboration \| Virtru	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
fortiguard.com ↗	65 match shared topic	FortiGuard Labs	en	information-and-network-security	robotsllmsaihumans	emailphone	none
informatica.org ↗	65 match shared topic	Informatica Corporation \| Canada's Cybersecurity Leader	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
logicalis.com ↗	65 match shared topic	Logicalis \| Managed Services for Enhanced Cybersecurity, Scalable Connectivity & Sustainable Outcomes	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
distributedlab.com ↗	65 match shared topic	Distributed Lab	en	information-and-network-security	robotsllmsaihumans	emailphone	none
leanappsec.com ↗	65 match shared topic	Home \| LeanAppSec by Endor Labs	en	information-and-network-security	robotsllmsaihumans	emailphone	none
securityforum.org ↗	65 match shared topic	The ISF is a leading authority on information security and risk management - Information Security Forum	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
nrlabs.com ↗	65 match shared topic	Leading Cybersecurity Solutions \| NR Labs	en	information-and-network-security	robotsllmsaihumans	emailphone	none
turnkey.com ↗	65 match shared topic	Turnkey — Secure, flexible, and scalable wallet infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aamircheema.com ↗	65 match shared topic	Muhammad Aamir Cheema - Professor, Faculty of Information Technology, Monash University, Australia.	en	information-and-network-security Joomla	robotsllmsaihumans	emailphone	none
laburity.com ↗	65 match shared topic	Home - Laburity	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
traxion.com ↗	65 match shared topic	Traxion - your Partner in Information Security in Benelux and Dach area.	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
reversinglabs.com ↗	65 match shared topic	Software Supply Chain Security & Threat Intelligence \| ReversingLabs	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.