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Sterienttechnology alternatives & similar sites

Sterient — Zero trust security, engineered for the enterprise — 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
adavenport.work ↗	73 match 1 shared topics	Alex Davenport — Principal Enterprise IT Engineer \| IAM · Endpoint · Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
adavenport.pro ↗	73 match 1 shared topics	Alex Davenport — Principal Enterprise IT Engineer \| IAM · Endpoint · Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mzyyar.com ↗	72 match 1 shared topics	MZYYAR — Cybersecurity, Enterprise Architecture & GRC Consulting \| MENA	en	information-and-network-security	robotsllmsaihumans	emailphone	none
acellc.ai ↗	71 match 1 shared topics	ACE \| SDVOSB Zero Trust Cybersecurity Experts	en	information-and-network-security	robotsllmsaihumans	emailphone	none
delrexconsulting.com ↗	71 match 1 shared topics	Delrex — Cybersecurity Engineering for Critical Infrastructure	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
zsecure.io ↗	71 match 1 shared topics	Z Secure - Zero Trust Security Labs \| Home	en	information-and-network-security	robotsllmsaihumans	emailphone	none
domaintagging.org ↗	71 match 1 shared topics	Cloud Delivered Enterprise Security by OpenDNS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
domaintagging.net ↗	71 match 1 shared topics	Cloud Delivered Enterprise Security by OpenDNS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0aloaltonetworks.com ↗	70 match 1 shared topics	Leader in Cybersecurity Protection & Software for the Modern Enterprises - Palo Alto Networks	en	information-and-network-security Adobe Experience Manager	robotsllmsaihumans	emailphone	none
vismitmv.xyz ↗	70 match 1 shared topics	Vismit \| Network Security Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
cssecure.net ↗	70 match 1 shared topics	CS SECURE LIMITED — Enterprise Cybersecurity Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xsr.com ↗	70 match 1 shared topics	Suleman Rehman — Red Team Engineer & Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
rickdg.com ↗	70 match 1 shared topics	Rick de Groot — Cybersecurity Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kawaiipanda.codes ↗	70 match 1 shared topics	KP \| Automation Engineer & Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
frankjohnson.dev ↗	70 match 1 shared topics	Frank Johnson — Cybersecurity Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dbshaw.com ↗	70 match 1 shared topics	Daniel Shaw \| Security Systems Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
defensernet.com ↗	70 match 1 shared topics	Defensernet \| Enterprise Network Security Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cylentrixglobal.com ↗	70 match 1 shared topics	Enterprise Cybersecurity, Managed IT & Telecom · Cylentrix	en	information-and-network-security	robotsllmsaihumans	email phone	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.