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Автоматический аудит безопасности и отказоустойчивости Облака - Выявление незащищенных IP, ненадежных конфигураций, уязвимостей, завышенных привилегий пользоват — 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
mega-darknet.net ↗	48 match 2 shared topics	MEGA облачное хранилище — обзор, возможности и тарифы 2026	ru	data-storage-and-warehousing	robotsllmsaihumans	emailphone	none
4yuvps.online ↗	47 match 2 shared topics	Matrixxx VPS — Цифровая свобода без компромиссов	ru	web-hosting	robotsllmsaihumans	emailphone	none
ddos-lab.com ↗	42 match 1 shared topics	DDoS lab \| Анализ устойчивости и защита от всех популярных видов DDoS-атак	ru	information-and-network-security	robotsllmsaihumans	emailphone	none
exploit.by ↗	41 match 1 shared topics	Exploit.By — Кибербезопасность, пентест и аудит безопасности	Belarus ru	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
myinfoguard.com ↗	40 match 1 shared topics	Удаление данных из Интернет, защита информации в сети	ru	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
therion.kz ↗	40 match 1 shared topics	therion.kz — Наша деятельность направлена на обеспечение надежной и безопасной основы для развития коммерческих предприятий и государственных учреждений, на повыш	ru	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
1-ncils.store ↗	40 match 1 shared topics	152-ФЗ \| Комитет по информационной и правовой безопасности	ru	information-and-network-security	robotsllmsaihumans	emailphone	none
2-ncils.store ↗	40 match 1 shared topics	152-ФЗ \| Комитет по информационной и правовой безопасности	ru	information-and-network-security	robotsllmsaihumans	emailphone	none
24-ncils.store ↗	40 match 1 shared topics	152-ФЗ \| Комитет по информационной и правовой безопасности	ru	information-and-network-security	robotsllmsaihumans	emailphone	none
5-ncils.store ↗	40 match 1 shared topics	152-ФЗ \| Комитет по информационной и правовой безопасности	ru	information-and-network-security	robotsllmsaihumans	emailphone	none
6-ncils.store ↗	40 match 1 shared topics	152-ФЗ \| Комитет по информационной и правовой безопасности	ru	information-and-network-security	robotsllmsaihumans	emailphone	none
7-ncils.store ↗	40 match 1 shared topics	152-ФЗ \| Комитет по информационной и правовой безопасности	ru	information-and-network-security	robotsllmsaihumans	emailphone	none
8-ncils.store ↗	40 match 1 shared topics	152-ФЗ \| Комитет по информационной и правовой безопасности	ru	information-and-network-security	robotsllmsaihumans	emailphone	none
9-ncils.store ↗	40 match 1 shared topics	152-ФЗ \| Комитет по информационной и правовой безопасности	ru	information-and-network-security	robotsllmsaihumans	emailphone	none
a1-kpib.store ↗	40 match 1 shared topics	152-ФЗ \| Комитет по информационной и правовой безопасности	ru	information-and-network-security	robotsllmsaihumans	emailphone	none
a2-kpib.store ↗	40 match 1 shared topics	152-ФЗ \| Комитет по информационной и правовой безопасности	ru	information-and-network-security	robotsllmsaihumans	emailphone	none
m-cib1.store ↗	40 match 1 shared topics	152-ФЗ \| Комитет по информационной и правовой безопасности	ru	information-and-network-security	robotsllmsaihumans	emailphone	none
m-cib2.store ↗	40 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.