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Secto | Browser Security for Regulated Industries — 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
usesecto.com ↗	100 match 1 shared topics	Secto \| Browser Security for Regulated Industries	en	information-and-network-security	robotsllmsaihumans	emailphone	none
joincyberussystems.com ↗	76 match 1 shared topics	Cyberus Systems MSSP - Enterprise Security for Regulated Industries	en	information-and-network-security	robotsllmsaihumans	emailphone	none
joinsidian.com ↗	71 match 1 shared topics	Sidian DataGuard \| Stopping data leaks for regulated industries	en	information-and-network-security	robots llmsaihumans	emailphone	none
avuln.com ↗	71 match 1 shared topics	AVULN Security Industries	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
acium.io ↗	71 match 1 shared topics	Acium - Unified Browser Security Platform	US~ en	information-and-network-security	robotsllmsaihumans	email phone	none
samirtahir.com ↗	70 match 1 shared topics	Samir Tahir \| Enterprise Cyber Security Architect for Regulated Transformation	en	information-and-network-security	robots llms aihumans	emailphone	none
avenixstrata.com ↗	70 match 1 shared topics	Avenix Strata \| Secure IT Transformation for Regulated Sectors	en	information-and-network-security	robotsllmsaihumans	email phone	none
usesecureevas.com ↗	69 match 1 shared topics	SOC 2 & HIPAA-Compliant Virtual Assistants for Enterprises: Secure Remote Support Services for Regulated Industries	en	information-and-network-security	robotsllmsaihumans	email phone	none
joinsecureevas.com ↗	69 match 1 shared topics	SOC 2 & HIPAA-Compliant Virtual Assistants for Enterprises: Secure Remote Support Services for Regulated Industries	en	information-and-network-security	robotsllmsaihumans	email phone	none
narfindustries.com ↗	69 match 1 shared topics	Narf Industries - Security without the snark.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecurityforbusiness.net ↗	69 match 1 shared topics	Cybersecurity for Business	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
csobreakfastclub.com ↗	69 match 1 shared topics	Home \| CxO Security Forum	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cxoforum.org ↗	69 match 1 shared topics	Home \| CxO Security Forum	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
nautilusot.com ↗	69 match 1 shared topics	OT & IoT Cybersecurity for Industrial Networks \| Nautilus OT	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
cyber-security-services.co.uk ↗	69 match 1 shared topics	Cyber Security Services	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecurity4.industries ↗	68 match 1 shared topics	Cybersecurity Services for Industry \| Secudea	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecurity4industry.org ↗	68 match 1 shared topics	Cybersecurity Services for Industry \| Secudea	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cveye.net ↗	68 match 1 shared topics	CVEye — Distributed Security for Modern Teams	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.