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Richard Borges — Mission-Critical Back-end Engineer — 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
allagillardem.com ↗	66 match 1 shared topics	Perimsec — Offensive Security & Security Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
annoyed.engineer ↗	66 match 1 shared topics	Annoyed Engineer - Annoyed Engineer	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
eilonc.com ↗	66 match 1 shared topics	Eilon Cohen \| Security Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ameer-rahman.info ↗	66 match 1 shared topics	Ameer Rahman \| Full-Stack Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cryptonomicon.tech ↗	66 match 1 shared topics	Richard T. Carback III	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xsha.io ↗	66 match 1 shared topics	0xSHA · Security Research & Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vladimircuc.com ↗	66 match 1 shared topics	Vladimir Cuc \| Security Engineer & Penetration Tester	en	information-and-network-security	robotsllmsaihumans	email phone	none
ecrimelabs.eu ↗	65 match 1 shared topics	eCrimeLabs \| Threat Intelligence & Security Engineering	European Union en	information-and-network-security	robotsllmsaihumans	emailphone	none
egnworks.com ↗	65 match 1 shared topics	Security partner for APAC engineering teams \| Egnworks	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
el-sbaei.com ↗	65 match 1 shared topics	Ahmed El-Sbaei \| Cyber Security Engineer & Pentester	en	information-and-network-security	robotsllmsaihumans	email phone	none
roundrobinconsulting.com ↗	65 match 1 shared topics	Embedded Engineering Practice - Round Robin Consulting LLC	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
leckovich.com ↗	65 match 1 shared topics	Leckovich Gurdian — SOC Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
p3mworks.co.uk ↗	65 match 1 shared topics	P3M Works — Cyber resilience for critical national infrastructure	United Kingdom en	information-and-network-security Sanity	robots llmsaihumans	emailphone	none
hedgetechsystems.com ↗	65 match 1 shared topics	HedgeTech: Automation Engineering & Cybersecurity Services \| hedgetech	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xsr.com ↗	65 match 1 shared topics	Suleman Rehman — Red Team Engineer & Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
alleksy.com ↗	65 match 1 shared topics	Iván Aleksandrov — Security Engineer & Serial Entrepreneur in Vancouver	Canada~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
davyrogers.co.uk ↗	65 match 1 shared topics	Davy Rogers - Lead Application Security Engineer \| CISSP, OSCP	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	none
davyrogers.uk ↗	65 match 1 shared topics	Davy Rogers - Lead Application Security Engineer \| CISSP, OSCP	United Kingdom 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.