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Securitysenses alternatives & similar sites

Security | Threat Detection | Cyberattacks | DevSecOps | Compliance | SecuritySenses — 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
0-x.dev ↗	67 match 2 shared topics	0xDev - Security Engineering & Development	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hrishikeshpjadhav.com ↗	67 match 2 shared topics	Hrishikesh Jadhav — Cybersecurity Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sjvik.com ↗	67 match 2 shared topics	Steve Vik — Cybersecurity & DevOps	en	information-and-network-security Gumroad	robotsllmsaihumans	emailphone	partial · 8
cseregistry.org ↗	66 match 2 shared topics	CSE Registry - Compliance Signal Enumeration	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aswpodcast.com ↗	66 match 2 shared topics	Application Security Weekly \| SC Media	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
async2secure.com ↗	66 match 2 shared topics	Asynchronous \| Security Solutions - Async2Secure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
interfluves.com ↗	66 match 2 shared topics	Interfluves Security – Shaping the Next Generation of Cybersecurity	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
csenthusiast.com ↗	66 match 2 shared topics	Cybersecurity Enthusiast - Home	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dotscience.com ↗	66 match 2 shared topics	DOTscience - Cybersecurity and Espionage Tactics	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
protectitallpod.com ↗	66 match 2 shared topics	PrOTect IT All Podcast \| OT & IT Cybersecurity	en	information-and-network-security Spree Commerce	robots llmsaihumans	emailphone	none
cbvordey.com ↗	65 match 2 shared topics	Cornelius Bright Vordey \| Researcher · DevSecOps · AIOps Engineer	en	technology-and-computing	robotsllmsaihumans	email phone	none
csanchez.dev ↗	65 match 2 shared topics	CSanchezAustin \| Musings and experiments on Identity, DevOps, and Security.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
neikorivera.com ↗	65 match 2 shared topics	Neiko Rivera \| Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
mythx.io ↗	65 match 2 shared topics	MythX: Smart contract security service for Ethereum	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
0xhabib.tech ↗	65 match 2 shared topics	0xHabib - Cybersecurity Learning Journey	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cclab.dev ↗	65 match 2 shared topics	CCLAB \| Cole's Cybersecurity Lab	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xsp.com ↗	65 match 2 shared topics	Game of Hide and Seek: Detecting Dynamic API Resolution at Runtime With Aether - 0xsp SRD - Security Research & Development	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
horizonsec.org ↗	65 match 2 shared topics	The HorizonSec Project - Builder-First Security	en	technology-and-computing	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.