Alpinsec Alternatives & Sites Like alpinsec.com | Piperic Business Intelligence

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
pancelpajzs.com ↗	60 match 1 shared topics	Páncélpajzs - A digitális biztonság hamarosan szintet lép	hu	information-and-network-security	robotsllmsaihumans	emailphone	none
mitchellzakocs.com ↗	60 match 1 shared topics	Mitchell Zakocs	hu	information-and-network-security	robotsllmsaihumans	emailphone	none
csibvpn.com ↗	60 match 1 shared topics	Kezdőlap - csibVPN	hu	information-and-network-security Joomla	robotsllmsaihumans	emailphone	none
dhciphers.org ↗	60 match 1 shared topics	DHCiphers – DH Ciphers – Encryption Solutions	hu	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
vivetech.com ↗	60 match 1 shared topics	ViVeTech: Human-centric solutions	hu	information-and-network-security	robotsllmsaihumans	emailphone	none
1pentest.com ↗	60 match 1 shared topics	1HACKING \| Etikus hacker \| Sérülékenység vizsgálat \| Penetrációs tesztelés \| Hacking	hu	information-and-network-security	robotsllmsaihumans	emailphone	none
bearcodedigital.com ↗	31 match 1 shared topics	Logbook - Hatékony Logkezelés és Adatelemzés \| Bear Code Digital	hu	software-and-applications	robotsllmsaihumans	emailphone	none
vivesecbox.com ↗	30 match 1 shared topics	ViVeSec – Kibervédelem + Privát AI · Egy zárt ökoszisztémában	Hungary~ hu	information-and-network-security	robots llmsaihumans	email phone	none
configvuln.com ↗	30 match 1 shared topics	ConfigVuln – Hálózati Infrastruktúra Sérülékenység-Audit	hu	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.

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How the match score works