similar sites

Browse

AI Report Tools

Sites similar to cybermassive.tech

Cybermassive alternatives & similar sites

CyberMassive | Cybersecurity Consulting for Startups & AI Companies — 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
epcnetwork.co.uk ↗	76 match 2 shared topics	EPC Network \| Cybersecurity & AI Consultancy	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
2thrivellc.com ↗	75 match 2 shared topics	Cyber Security and AI Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecuritygpt.store ↗	72 match 2 shared topics	CyberGPT Store - AI Assistants for Cybersecurity \| CyberGPT Store	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cyb-sec.dev ↗	72 match 2 shared topics	Wayne \| CyberGuard AI & Cybersecurity Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
abijitharun.dev ↗	71 match 2 shared topics	Abijith Arun \| Cybersecurity & Cloud Specialist	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
nathan-confavreux.com ↗	70 match 2 shared topics	Nathan Confavreux \| AI & Security Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
infosecservices.co.uk ↗	70 match 2 shared topics	Infosecservices \| Cyber Security & AI	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
faltroxsecurity.com ↗	70 match 2 shared topics	Faltrox Security \| AI-Powered Cybersecurity Services	IN~ en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
appliedriskmanagement.ie ↗	70 match 2 shared topics	Applied Risk Management · Security Consulting, vCISO, AI-Driven SCMS	IE en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberfort.systems ↗	70 match 2 shared topics	Cyberfort Systems — Global AI Cybersecurity	en	information-and-network-security	robots llmsaihumans	emailphone	none
falchion.ai ↗	70 match 2 shared topics	Falchion AI - Professional AI Red Teaming & Security Consulting	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
falchionai.com ↗	70 match 2 shared topics	Falchion AI - Professional AI Red Teaming & Security Consulting	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
hasaniq.com ↗	70 match 2 shared topics	Nahian Hasan - Cybersecurity & AI Professional	en	information-and-network-security	robotsllmsaihumans	emailphone	none
svastitechsoln.com ↗	70 match 2 shared topics	Svasti Technology Solutions \| Advanced Cybersecurity & AI	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberintell.net ↗	70 match 2 shared topics	Small Business Cybersecurity & AI Security \| Cyberintell Northeast Louisiana	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybrcon.com ↗	70 match 2 shared topics	Cybrcon — AI Governance & Cybersecurity Compliance Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dikeakos.me ↗	70 match 2 shared topics	George Dikeakos — Cybersecurity & AI	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sammitrovic.com ↗	69 match 2 shared topics	Sam Mitrovic \| M365 Security & AI Consultant	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8

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.