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Protocolforensics alternatives & similar sites

Protocol Forensics – Secure your enterprise inside out — 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
protosec.org ↗	69 match 1 shared topics	ProtoSec - Security for Enterprises	en	information-and-network-security	robotsllmsaihumans	emailphone	none
protoguard.dev ↗	68 match 1 shared topics	Protoguard \| Enterprise Security for MCP	en	information-and-network-security	robotsllmsaihumans	emailphone	none
negevsecure.com ↗	68 match 1 shared topics	NegevSecure - Enterprise Security Platform	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
vpngeek.com ↗	67 match 1 shared topics	Fast & Secure VPN for Business \| VPNGeek Enterprise VPN	en	information-and-network-security Statamic	robotsllmsaihumans	emailphone	none
dostalsecurity.com ↗	67 match 1 shared topics	Dostal Security – Enterprise Grade Security for Everyone.	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
dosaygo.com ↗	67 match 1 shared topics	BrowserBox \| Enterprise-Grade Secure Browsing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cssecure.net ↗	67 match 1 shared topics	CS SECURE LIMITED — Enterprise Cybersecurity Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
skillreset.com ↗	67 match 1 shared topics	Gordon Digital Forensics – Digital Forensics and Cybersecurity	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
astaple.com ↗	66 match 1 shared topics	ASTAPLE – Applied Security, Trust and Privacy Lab for Enterprise	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
gbwise.com ↗	66 match 1 shared topics	GBWise – Enterprise Linux, Proxmox & Security Solutions	United States~ en	information-and-network-security	robots llmsaihumans	emailphone	none
davidlcampbell.uk ↗	66 match 1 shared topics	David L Campbell - Enterprise IT Security Consultant	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	none
protegotechnologies.com ↗	66 match 1 shared topics	Protego Technologies - Enterprise Security Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vultcore.com ↗	66 match 1 shared topics	Vultcore Security - Enterprise MSSP Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
assurvia.io ↗	66 match 1 shared topics	Assurvia LLC \| Enterprise Security Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
siryusenterprise.com ↗	66 match 1 shared topics	Siryus Enterprise LLC	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
livertonsecurity.com ↗	66 match 1 shared topics	Cyber Security for Enterprise & Government - Liverton Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
prunix.com ↗	66 match 1 shared topics	Prunix LLC \| Secure IT Solutions for Government and Enterprise	en	information-and-network-security	robotsllmsaihumans	emailphone	none
voidum.io ↗	66 match 1 shared topics	Void - Enterprise Security Intelligence Platform	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.