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Trusted-Aide | Practical Security & Risk Reduction for SMEs — 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
cschwartz.net ↗	71 match 1 shared topics	Christian Schwartz \| Practical Security Thinking for Complex Systems	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybercritters.net ↗	70 match 1 shared topics	CyberCritters \| News, Security Updates & Practical Guidance	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecurityprotocol.org ↗	70 match 1 shared topics	CyberSecurityProtocol 101 \| Practical Cybersecurity Protocols for Individuals & Organizations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
trebsec.com ↗	70 match 1 shared topics	TrebSec \| Cybersecurity Risk Advisors for Professional Practices	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
astero.com.au ↗	70 match 1 shared topics	Astero - Cyber Security & Risk Management	Australia en	information-and-network-security	robotsllmsaihumans	emailphone	none
brongosecurity.com ↗	69 match 1 shared topics	Brongo Security \| Cyber Protection for General Practitioners, Dental, and Aesthetic Practices	en	information-and-network-security	robotsllmsaihumans	emailphone	none
fizentech.com ↗	69 match 1 shared topics	Cybersecurity & Compliance Automation	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
fizensoftware.com ↗	69 match 1 shared topics	Cybersecurity & Compliance Automation	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
proactivesecuritylabs.com ↗	69 match 1 shared topics	Proactive Security Labs	en	information-and-network-security	robotsllmsaihumans	emailphone	none
procenne.com ↗	69 match 1 shared topics	Digital Security \| Procenne	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ctrl-disrupt.com ↗	69 match 1 shared topics	CTRL Disrupt — Your Managed Security & Risk Office	en	information-and-network-security	robotsllmsaihumans	emailphone	none
7elmstrategies.com ↗	69 match 1 shared topics	7 Elm Strategies \| Enterprise Security & Risk Advisory	en	information-and-network-security	robotsllmsaihumans	emailphone	none
curvace.org ↗	69 match 1 shared topics	Curvace \| Optical Sensing & Security Technology	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
1ransom.com ↗	69 match 1 shared topics	1RANSOM - Fractional Security Leadership	en	information-and-network-security	robotsllmsaihumans	emailphone	none
alpinecyber.com ↗	69 match 1 shared topics	Simulint – Unified Cybersecurity & IT for SMBs	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberlion.pro ↗	69 match 1 shared topics	Technical Localization for IT, Cybersecurity & Engineering \| CYBERL10N	en	information-and-network-security	robotsllmsaihumans	emailphone	none
fliite.io ↗	69 match 1 shared topics	Mission Control - Enterprise SIEM Security for SMBs	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
fliite.ai ↗	69 match 1 shared topics	Mission Control - Enterprise SIEM Security for SMBs	United States~ 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.