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Securitum alternatives & similar sites

Securitum. Leading european penetration testing company — 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
usd.de ↗	103 match 9 shared linkers · same topic	usd AG \| Cyber Security - Analysen. Beratung. Audits.	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
trustwave.com ↗	102 match 9 shared linkers · same topic	Secure What's Next \| LevelBlue	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
bureauveritas.com ↗	82 match 9 shared linkers	Home \| Bureau Veritas	en	business Drupal	robotsllmsaihumans	emailphone	none
dnv.com ↗	82 match 9 shared linkers	DNV.com - When trust matters - DNV	en	business	robotsllmsaihumans	emailphone	none
hackerone.com ↗	71 match 9 shared linkers · same topic	HackerOne \| Leader in Continuous Threat Exposure Management \| Security for AI	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
capgemini.com ↗	64 match 9 shared linkers	Capgemini - Make it real.	en	management-consulting-industry WordPress	robotsllmsaihumans	emailphone	none
kpmg.com ↗	54 match 9 shared linkers	KPMG International \| Home	en	business Adobe Experience Manager	robots llmsaihumans	emailphone	none
accenture.com ↗	42 match 9 shared linkers	Deutschland \| Let There Be Change \| Accenture	de	management-consulting-industry Adobe Experience Manager	robotsllmsaihumans	emailphone	none
kali.org ↗	67 match shared topic	Kali Linux \| Penetration Testing and Ethical Hacking Linux Distribution	en	information-and-network-security	robotsllmsaihumans	emailphone	none
beaglesecurity.com ↗	67 match shared topic	Beagle Security: AI-powered AppSec platform \| Web application & API penetration testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
plutosec.us ↗	67 match shared topic	Cybersecurity & Penetration Testing Services USA \| Pluto Security	United States en	information-and-network-security	robotsllmsaihumans	email phone	none
networking4all.com ↗	67 match shared topic	Expert in SSL, Penetration testing & Managed Security \| Networking4all	Netherlands~ en	information-and-network-security Storyblok	robotsllmsaihumans	emailphone	none
7asecurity.com ↗	67 match shared topic	7ASecurity: Penetration Testing for Serious Teams \| 7ASecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
lenels2.com ↗	67 match shared topic	LenelS2 \| The Leading Physical Security Company	en	information-and-network-security Adobe Experience Manager	robotsllmsaihumans	emailphone	none
cybercx.com.au ↗	67 match shared topic	CyberCX \| Leading Cyber Security Company In Australia	Australia en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
dmca.com ↗	61 match shared topic	Content Protection and Takedown Company Since 2006 \| DMCA.com	en	information-and-network-security	robotsllmsaihumans	emailphone	none
usercentrics.com ↗	61 match shared topic	Usercentrics \| Leading in Data Privacy & Compliance	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
maxmind.com ↗	61 match shared topic	Industry leading IP Geolocation and Online Fraud Prevention \| MaxMind	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.