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Galuli | Cyber Investigations & Incident Response — 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
binalyze.com ↗	76 match 1 shared topics	Binalyze - Automated Investigation and Incident Response	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
bountexlabs.com ↗	73 match 1 shared topics	BountEx Labs \| Cybersecurity, OSINT, Crypto Investigations	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
maryman.com ↗	73 match 1 shared topics	Digital Forensics Experts \| Security Incident Investigations Firm	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
cyberincident.org ↗	73 match 1 shared topics	Cyber Incident	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybirconsulting.net ↗	73 match 1 shared topics	CYBIR - Cyber Security, Incident Response, and Digital Forensics	United States~ en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
detectalix.com ↗	72 match 1 shared topics	Detectalix - Cyber investigations - Digital Security and Privacy	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberhelp.today ↗	72 match 1 shared topics	CyberHelp.Today - Cybersecurity Incident Response & Expert Support	en	information-and-network-security	robotsllmsaihumans	emailphone	none
scarletredsolutions.com ↗	72 match 1 shared topics	Scarlet Red Solutions - Digital Investigation & Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
jacobferguson.dev ↗	72 match 1 shared topics	Jacob Ferguson \| Blue Team · Detection · Incident Response	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cryptosec.net ↗	71 match 1 shared topics	Cryptosec - Crypto Cybersecurity and Investigations	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cryptosec.ai ↗	71 match 1 shared topics	Cryptosec - Crypto Cybersecurity and Investigations	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cryptoriskmanagers.com ↗	71 match 1 shared topics	Cryptosec - Crypto Cybersecurity and Investigations	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cyberpi.agency ↗	71 match 1 shared topics	CyberPI - Professional Cyber Investigation & Digital Forensics	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberinteltrace.org ↗	71 match 1 shared topics	Cyber Intel Trace Investigator	en	information-and-network-security	robotsllmsaihumans	email phone	none
breached.company ↗	70 match 1 shared topics	Breach Intelligence, Incident Response & Consumer Protection \| Breached.Company	en	information-and-network-security	robots llms aihumans	emailphone	partial · 9
0secure.com ↗	70 match 1 shared topics	ZeroHack \| cybercrime prevention & response	en	information-and-network-security Wix	robotsllmsaihumans	emailphone	none
mdm-security.org ↗	70 match 1 shared topics	MDM Security & Investigations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecurity.run ↗	70 match 1 shared topics	Tools & Information \| Cyber Security	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.