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Sites similar to grcengineering.org

Grcengineering alternatives & similar sites

GRC Engineering — 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
vorpalengineering.com ↗	77 match 2 shared topics	Vorpal Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
0-x.dev ↗	69 match 2 shared topics	0xDev - Security Engineering & Development	en	information-and-network-security	robotsllmsaihumans	emailphone	none
doubleret.com ↗	67 match 2 shared topics	Diogo Pereira - Security Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
atyansh.me ↗	67 match 2 shared topics	Atyansh Jaiswal - Software Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
protocol14019.com ↗	66 match 2 shared topics	PROTOCOL 14019 \| David Cooper \| Decentralized Stack Engineering	en	technology-and-computing	robotsllmsaihumans	emailphone	none
skillathontechnologies.com ↗	66 match 2 shared topics	Skillathon Technologies — Engineering Modern Digital Capabilities	India~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
hrishikeshpjadhav.com ↗	66 match 2 shared topics	Hrishikesh Jadhav — Cybersecurity Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xchiru.dev ↗	66 match 2 shared topics	Chiranjeevi Diviti — Cybersecurity Engineer	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
doserres.dev ↗	65 match 2 shared topics	Ruben Rojas — Infrastructure & Systems Engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
cbvordey.com ↗	64 match 2 shared topics	Cornelius Bright Vordey \| Researcher · DevSecOps · AIOps Engineer	en	technology-and-computing	robotsllmsaihumans	email phone	none
0xdeadbeefjerky.com ↗	63 match 2 shared topics	0xdeadbeefJERKY \| Random thoughts and adventures of an offensive security engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
errbufferoverfl.me ↗	63 match 2 shared topics	Writing – errbufferoverfl, enthusiastic zinester & artist, reluctant security engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ericran.ge ↗	63 match 2 shared topics	Eric Range :: Technical director of Enginsight	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
vopverify.com ↗	62 match 2 shared topics	VOP Verify - Evaluate your Verification of Payee (VoP) Environment and Matching Engine	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
houndsec.net ↗	62 match 2 shared topics	HoundSec - Empowering Minds with Modern Tech	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ccsolutioneer.com ↗	62 match 2 shared topics	Home \| ccSolutioneer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1percentnerd.com ↗	61 match 2 shared topics	Ezekiel A. Obeisun Jr \| Security Analyst \| AWS Community Builder \| NerdPioneer	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
voiceofgreyhat.com ↗	61 match 2 shared topics	VOGH- VOICE OF GREYHAT\| Leading Resource of Cyber Updates & Hacker News	en	information-and-network-security Adobe Experience Manager	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.