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Active Forensic Intelligent Response Method (AFIRM) — 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
cyberforensics.org ↗	85 match 1 shared topics	Active Forensic Intelligent Response Method (AFIRM)	en	information-and-network-security	robotsllmsaihumans	emailphone	none
day-con.com ↗	85 match 1 shared topics	Active Forensic Intelligent Response Method (AFIRM)	en	information-and-network-security	robotsllmsaihumans	emailphone	none
datanalyzers.com ↗	68 match 1 shared topics	Cyber Centaurs \| Digital Forensics & Incident Response Firm	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
alertmedia.com ↗	67 match 1 shared topics	AlertMedia - Unified Risk Intelligence & Response	United States~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
breached.company ↗	67 match 1 shared topics	Breach Intelligence, Incident Response & Consumer Protection \| Breached.Company	en	information-and-network-security	robots llms aihumans	emailphone	partial · 9
cybirconsulting.net ↗	67 match 1 shared topics	CYBIR - Cyber Security, Incident Response, and Digital Forensics	United States~ en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
cyber-intelligence.tech ↗	66 match 1 shared topics	Cyber Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberintelligence.tech ↗	66 match 1 shared topics	Cyber Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
volcanoint.com ↗	66 match 1 shared topics	Volcano Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyber-brief.net ↗	66 match 1 shared topics	Cyber-Brief — Strategic Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 3
baremetalintelligence.com ↗	66 match 1 shared topics	Baremetal Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cspd.io ↗	66 match 1 shared topics	CSP Domain Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
helloliongard.com ↗	66 match 1 shared topics	Asset Intelligence for MSPs and IT Teams	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
heyliongard.com ↗	66 match 1 shared topics	Asset Intelligence for MSPs and IT Teams	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cypex.ai ↗	66 match 1 shared topics	Cypex - Proactive cyber threat prediction and intelligence	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cybersecurity.cymru ↗	66 match 1 shared topics	Cyber Security, Digital Forensics, Incident Response \| North Wales, UK \| Halkyn Consulting Ltd	en	information-and-network-security	robotsllmsaihumans	email phone	none
cybersecurity.wales ↗	66 match 1 shared topics	Cyber Security, Digital Forensics, Incident Response \| North Wales, UK \| Halkyn Consulting Ltd	en	information-and-network-security	robotsllmsaihumans	email phone	none
halkynsecurity.co.uk ↗	66 match 1 shared topics	Cyber Security, Digital Forensics, Incident Response \| North Wales, UK \| Halkyn Consulting Ltd	United Kingdom en	information-and-network-security	robotsllmsaihumans	email phone	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.