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Bowrisk alternatives & similar sites

BowRisk — Bow-Tie Risk Analysis for Cybersecurity Teams — 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
garrettdevelops.com ↗	72 match 1 shared topics	Garrett Morgan \| Cybersecurity Analyst	en	information-and-network-security	robotsllmsaihumans	email phone	none
thierryinfosec.com ↗	71 match 1 shared topics	Thierry Nimubona — Cybersecurity Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
owlcybersecurity.com ↗	70 match 1 shared topics	Dark Web Threat Intelligence & Darknet Data for Cybersecurity Teams \| DarkOwl	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
threatlabsandbox.com ↗	70 match 1 shared topics	ThreatLab - Local Malware Analysis Sandbox for MSPs & Security Teams	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecurity.international ↗	70 match 1 shared topics	Cybersecurity Blog	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
cybersecuritywithsandra.com ↗	70 match 1 shared topics	With Sandra — Empowering cybersecurity teams & leaders.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecurityforbusiness.net ↗	70 match 1 shared topics	Cybersecurity for Business	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
2bware.com ↗	70 match 1 shared topics	2Bware Cybersecurity	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
sb-organicnatural.com ↗	70 match 1 shared topics	Standard Bank — Cybersecurity Awareness	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecurity.my ↗	70 match 1 shared topics	CyberSecurity Malaysia	en	information-and-network-security	robotsllmsaihumans	emailphone	none
simpleashell.com ↗	70 match 1 shared topics	Simple as Hell - Risk Assessment Tool \| Cybersecurity Risk Calculator	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecuritycapabilitymodel.com ↗	70 match 1 shared topics	Cybersecurity - Cyber City Map	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
cybersecuritysummit.tech ↗	70 match 1 shared topics	The Cybersecurity Transformation Summit	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecurityforfinancialadvisors.com ↗	70 match 1 shared topics	RIA Cybersecurity Services - Adelia Risk	United States~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cybersecuritycoalition.org ↗	70 match 1 shared topics	Cybersecurity Coalition	en	information-and-network-security	robotsllmsaihumans	email phone	none
cybersecurityforregisteredinvestmentadvisors.com ↗	70 match 1 shared topics	RIA Cybersecurity Services - Adelia Risk	United States~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
advsec.tech ↗	70 match 1 shared topics	ADVsec – Cybersecurity & Digital Risk Experts	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberchain.biz ↗	70 match 1 shared topics	CyberChain - Modern Cyber Data Risk Analysis	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.