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Belsiem alternatives & similar sites

BelSIEM – система мониторинга безопасности (SIEM) — 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
terbez.com ↗	74 match 1 shared topics	Главная - Территория Безопасности	ru	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
bytis.by ↗	73 match 1 shared topics	БАЙТИС \| Информационная безопасность	Belarus ru	information-and-network-security	robotsllmsaihumans	emailphone	none
2df.net ↗	72 match 1 shared topics	2DF.NET — кибербезопасность, privacy и IT-инфраструктура	ru	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
deiteriy.com ↗	72 match 1 shared topics	Deiteriy - поставщик услуг информационной безопасности	ru	information-and-network-security	robotsllmsaihumans	email phone	none
cyberboost.uz ↗	72 match 1 shared topics	CYBER BOOST - Кибербезопасность в Узбекистане	ru	information-and-network-security	robotsllmsaihumans	email phone	partial · 8
1-ncils.store ↗	72 match 1 shared topics	152-ФЗ \| Комитет по информационной и правовой безопасности	ru	information-and-network-security	robotsllmsaihumans	emailphone	none
2-ncils.store ↗	72 match 1 shared topics	152-ФЗ \| Комитет по информационной и правовой безопасности	ru	information-and-network-security	robotsllmsaihumans	emailphone	none
24-ncils.store ↗	72 match 1 shared topics	152-ФЗ \| Комитет по информационной и правовой безопасности	ru	information-and-network-security	robotsllmsaihumans	emailphone	none
5-ncils.store ↗	72 match 1 shared topics	152-ФЗ \| Комитет по информационной и правовой безопасности	ru	information-and-network-security	robotsllmsaihumans	emailphone	none
6-ncils.store ↗	72 match 1 shared topics	152-ФЗ \| Комитет по информационной и правовой безопасности	ru	information-and-network-security	robotsllmsaihumans	emailphone	none
7-ncils.store ↗	72 match 1 shared topics	152-ФЗ \| Комитет по информационной и правовой безопасности	ru	information-and-network-security	robotsllmsaihumans	emailphone	none
8-ncils.store ↗	72 match 1 shared topics	152-ФЗ \| Комитет по информационной и правовой безопасности	ru	information-and-network-security	robotsllmsaihumans	emailphone	none
9-ncils.store ↗	72 match 1 shared topics	152-ФЗ \| Комитет по информационной и правовой безопасности	ru	information-and-network-security	robotsllmsaihumans	emailphone	none
a1-kpib.store ↗	72 match 1 shared topics	152-ФЗ \| Комитет по информационной и правовой безопасности	ru	information-and-network-security	robotsllmsaihumans	emailphone	none
a2-kpib.store ↗	72 match 1 shared topics	152-ФЗ \| Комитет по информационной и правовой безопасности	ru	information-and-network-security	robotsllmsaihumans	emailphone	none
m-cib1.store ↗	72 match 1 shared topics	152-ФЗ \| Комитет по информационной и правовой безопасности	ru	information-and-network-security	robotsllmsaihumans	emailphone	none
m-cib2.store ↗	72 match 1 shared topics	152-ФЗ \| Комитет по информационной и правовой безопасности	ru	information-and-network-security	robotsllmsaihumans	emailphone	none
m-cib3.store ↗	72 match 1 shared topics	152-ФЗ \| Комитет по информационной и правовой безопасности	ru	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.