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Demetri Gittens - Cyber Risk & Governance Professional - Demetri Gittens — 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
gageolson.com ↗	68 match 1 shared topics	Gage Olson - Cybersecurity Professional	en	information-and-network-security	robotsllmsaihumans	email phone	none
gage-allen.com ↗	68 match 1 shared topics	Gage Allen \| Cybersecurity Professional	en	information-and-network-security	robotsllmsaihumans	emailphone	none
jamesebiloma.com ↗	67 match 1 shared topics	James Ebiloma \| Cybersecurity Professional	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sydekick.co ↗	67 match 1 shared topics	Sydekick \| Cyber Resilience and Governance Platform for SMEs	Colombia en	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
garciasec.com ↗	67 match 1 shared topics	Jose Garcia \| Cybersecurity Professional	en	information-and-network-security	robotsllmsaihumans	email phone	none
mckai.net ↗	67 match 1 shared topics	Corey McKay - Cybersecurity Professional	en	information-and-network-security	robotsllmsaihumans	emailphone	none
jamesmknapp.com ↗	67 match 1 shared topics	James Knapp - Cybersecurity Professional	en	information-and-network-security	robotsllmsaihumans	emailphone	none
jayanta-nath.com ↗	67 match 1 shared topics	Jayanta Nath - Security & Compliance Professional	en	information-and-network-security	robotsllmsaihumans	email phone	none
jackmeersman.dev ↗	67 match 1 shared topics	Jack Meersman - Cybersecurity Professional	en	information-and-network-security	robotsllmsaihumans	emailphone	none
jacobgutierrez.dev ↗	67 match 1 shared topics	Jacob Gutierrez - Cybersecurity Professional	en	information-and-network-security	robotsllmsaihumans	emailphone	none
24zero.cloud ↗	67 match 1 shared topics	24zero \| Cyber Risk Management	en	information-and-network-security	robotsllmsaihumans	emailphone	none
marvinsinclair.com ↗	67 match 1 shared topics	Marvin Sinclair \| ICT Professional & Cybersecurity Specialist	en	information-and-network-security Spree Commerce	robotsllmsaihumans	email phone	none
saturnpartners.com ↗	67 match 1 shared topics	Professional Cybersecurity Services for SMBs \| Lake Forrest	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
dharminpatel.com ↗	67 match 1 shared topics	Dharmin V. Patel — Cybersecurity & IT Professional	en	information-and-network-security	robotsllmsaihumans	email phone	none
jamesdmcneely.com ↗	67 match 1 shared topics	James McNeely \| IT Service Manager & Cybersecurity Professional	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
websecuritydirect.com ↗	67 match 1 shared topics	Matt Palmer — Cyber resilience, assurance, governance	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agentsafeguard.com ↗	67 match 1 shared topics	Agent Safeguard - Golden Safeguard \| Cybersecurity Compliance & Governance	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
outboundblackwoodglobalconsulting.com ↗	67 match 1 shared topics	Blackwood Enterprises \| Cyber Risk & Client Data Protection	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.