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SSD TECH – Shielding from Risks — 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
inivatech.co.uk ↗	67 match 1 shared topics	Inivatech – Securing excellence	United Kingdom en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
spsdigitaltech.com ↗	65 match 1 shared topics	SPS Digital Tech – Smarter Tools, Safer Systems	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybershield.life ↗	65 match 1 shared topics	Cyber Shield	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
spectrum-tech.co.uk ↗	65 match 1 shared topics	Spectrum Tech – Global Software Solutions	United Kingdom en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
stantech.io ↗	65 match 1 shared topics	Stantech – Integrated Tech Design & Security Solutions	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cybersecurityinternals.tech ↗	65 match 1 shared topics	CyberSecurity Internals Tech. – Securing Systems from the Inside Out	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
daarc.tech ↗	64 match 1 shared topics	Shadow and Shield	en	information-and-network-security Shopify	robots llmsaihumans	emailphone	none
bandbuddy.net ↗	64 match 1 shared topics	The Cyber Staff, LLC – Your cyber shield	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
barrosjosh.tech ↗	64 match 1 shared topics	barrosjosh.tech – Just another Portfolio	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
electronicharassmentprotection.com ↗	64 match 1 shared topics	Electronic Harassment Protection Services \| Shielding & Evaluation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
fantometech.com ↗	64 match 1 shared topics	Fantome Tech – Targeted Removal & Digital Discretion	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyrisks.com ↗	64 match 1 shared topics	CyRisks – Cyber Risk Assessment	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyber-1.tech ↗	64 match 1 shared topics	Cyber-1.TECH – Adventures in Cybersecurity	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
visionsecuritytechnologies.com ↗	64 match 1 shared topics	Vision – Security Technologies	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
fanextech.com ↗	64 match 1 shared topics	FANEXTECH – CCTV- VOIP – AV – NETWORKS	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
jgmsoftware.co.uk ↗	64 match 1 shared topics	JGM Software – Tech and Infosec	United Kingdom en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
csguy.tech ↗	64 match 1 shared topics	CS Guy – Tech Guy Trying to Make a Difference	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	partial · 8
kaurashield.com ↗	64 match 1 shared topics	Kaura Shield Pvt. Ltd.	en	information-and-network-security WordPress	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.