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Cascadia OT Security | OT & ICS Pentesting Pacific NW — 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
enablesecurity.co.uk ↗	71 match 1 shared topics	Enable Security – DDoS & Pentesting for VoIP/WebRTC	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberhunter.solutions ↗	71 match 1 shared topics	Penetration Test & Security Testing Company	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
faulted.io ↗	70 match 1 shared topics	Faulted Security \| Expert Penetration Testing Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
joinsprocketsecurity.com ↗	70 match 1 shared topics	Sprocket Security \| Expert-Driven Continuous Penetration Testing Platform	en	information-and-network-security	robotsllmsaihumans	email phone	none
onsecurity.co.uk ↗	70 match 1 shared topics	Expert AI-Augmented Pentesting UK \| CREST-Approved \| OnSecurity	GB en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	partial · 8
usevantablack.com ↗	69 match 1 shared topics	VantaBlack Security - Automated Penetration Testing Platform	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
pentestpartners.co.uk ↗	69 match 1 shared topics	Cyber Security Consulting & Testing	GB en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
pen-test-partners.co.uk ↗	69 match 1 shared topics	Cyber Security Consulting & Testing	GB en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
utilitysec.com ↗	69 match 1 shared topics	UtilitySec \| OT & ICS Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
useparabellyx.com ↗	69 match 1 shared topics	Parabellyx Cybersecurity \| Security Testing Experts Toronto \| Denver	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
fdvault.com ↗	69 match 1 shared topics	FD Vault — Security Testing & VAPT \| Vault & Oliver Street LLP	en	information-and-network-security	robotsllmsaihumans	emailphone	none
lucidcyber.io ↗	69 match 1 shared topics	Offensive Security and Penetration Testing - Lucid Security	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
defenz.io ↗	69 match 1 shared topics	Defenz — Offensive Security & Penetration Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oxfordsystems.co.uk ↗	69 match 1 shared topics	Penetration Testing and Cyber Security Services \| Oxford Systems	GB en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
aurainfosec.com.au ↗	69 match 1 shared topics	Cyber Security Advisory \| Penetration Testing \| Kordia NZ	AU en	information-and-network-security HubSpot	robotsllmsaihumans	email phone	none
deteact.com ↗	69 match 1 shared topics	Detect & Act - Security Assessment, Penetration Testing, Security Audit	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hapilabs.ai ↗	69 match 1 shared topics	hAPI Labs - API Security & Penetration Testing	en	information-and-network-security Squarespace Magento	robotsllmsaihumans	emailphone	none
svitsec.com ↗	68 match 1 shared topics	Independent Penetration Testing & Security Reviews \| Svitsec	AU~ en	information-and-network-security	robots llmsaihumans	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.