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Christopher Hadnagy - Social Engineering Expert, Author, Keynote Speaker — 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
christopherjhadnagy.com ↗	100 match 1 shared topics	Christopher Hadnagy - Social Engineering Expert, Author, Keynote Speaker	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
christianesp.com ↗	69 match 1 shared topics	Christian Espinosa: MedTech Cybersecurity Expert, Keynote…	en	information-and-network-security	robotsllmsaihumans	emailphone	none
christianesp.net ↗	69 match 1 shared topics	Christian Espinosa: MedTech Cybersecurity Expert, Keynote…	en	information-and-network-security	robotsllmsaihumans	emailphone	none
christianespinosa.me ↗	69 match 1 shared topics	Christian Espinosa: MedTech Cybersecurity Expert, Keynote…	en	information-and-network-security	robotsllmsaihumans	emailphone	none
chelseajarvie.com ↗	69 match 1 shared topics	Home \| Dr Chelsea Jarvie \| Keynote Speaker	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
idtheftsecurity.com ↗	68 match 1 shared topics	Keynote Speaker Cyber Security	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
robertsiciliano.com ↗	68 match 1 shared topics	Keynote Speaker Cyber Security	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
stungun.com ↗	68 match 1 shared topics	Keynote Speaker Cyber Security	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
christopherignas.com ↗	68 match 1 shared topics	Christopher Ignas \| Security Engineer & Automation Consultant	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
0xsha.io ↗	67 match 1 shared topics	0xSHA · Security Research & Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
adamlarkin.com ↗	67 match 1 shared topics	Adam Larkin \| SecOps Engineering Leader	en	information-and-network-security	robotsllmsaihumans	emailphone	none
christopherschmidt.net ↗	67 match 1 shared topics	Christopher Schmidt - PrivacyByDesign	en	information-and-network-security	robotsllmsaihumans	emailphone	none
adamgreen.ai ↗	66 match 1 shared topics	Adam Green — Conference MC · Keynote Speaker · Cyber Incident Advisor	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bakrfayez.com ↗	66 match 1 shared topics	Bakr Fayez — Cybersecurity Expert & Senior Backend Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
doppel.com ↗	66 match 1 shared topics	Doppel \| The world's first platform for Social Engineering Defense.	United States~ en	information-and-network-security Drupal	robots llmsaihumans	emailphone	none
qcicgroup.uk ↗	66 match 1 shared topics	Global security engineering company \| QCIC Security Assured	United Kingdom en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
qcicgroup.co.uk ↗	66 match 1 shared topics	Global security engineering company \| QCIC Security Assured	United Kingdom en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
qcic-group.uk ↗	66 match 1 shared topics	Global security engineering company \| QCIC Security Assured	United Kingdom 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.