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Tigersoc alternatives & similar sites

TigerSOC — Security Operations Center — 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
mcpsoc.dev ↗	84 match 1 shared topics	MCP SOC — Security Operations Center	en	information-and-network-security	robotsllmsaihumans	emailphone	none
advnce.app ↗	76 match 1 shared topics	ADVNCE - Security Operations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
savageoperationssecurity.com ↗	73 match 1 shared topics	SAVAGE OPERATIONS SECURITY (SOS)	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
web3soc.com ↗	72 match 1 shared topics	Web3SOC \| Cantina - Elite Security Operations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aegis-mind.tech ↗	72 match 1 shared topics	AegisMind - Cybersecurity Operations Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bonciso.com ↗	72 match 1 shared topics	Caribbean Information and Security Operations Bonaire	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
df-sec.com ↗	71 match 1 shared topics	Web3 Security, Pentest & Security Operations \| DualForce Security	Singapore~ en	information-and-network-security	robots llmsaihumans	email phone	none
theunicornsecurity.com ↗	71 match 1 shared topics	Expert Security Operations Services \| Unicorn Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
csc247.com ↗	71 match 1 shared topics	CSC Security Center	en	information-and-network-security	robotsllmsaihumans	emailphone	none
k5.ai ↗	71 match 1 shared topics	k5.ai — InfoSec Security News Feed	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
overseas-risk.com ↗	71 match 1 shared topics	Risk Assessment Platform \| Overseas Security Operations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
scoutcipher.com ↗	71 match 1 shared topics	SCOUT: Security Center for Operations – Unified Terminal	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
threatverge.com ↗	71 match 1 shared topics	ThreatVerge - Cybersecurity Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
a2z-soc.com ↗	70 match 1 shared topics	A2Z SOC - Global Security Operations Center Platform \| Enterprise Cybersecurity Solutions \| SOC Services Worldwide	en	information-and-network-security	robots llms aihumans	emailphone	none
jacobmasse.com ↗	70 match 1 shared topics	Jacob Masse - Cybersecurity & IT Operations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
jalaly.com ↗	70 match 1 shared topics	Mansour Jalaly — Security Engineering	United Kingdom~ en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
threatdefence.com ↗	70 match 1 shared topics	Enterprise Cyber Security Operations Platform \| 24×7 SOC & Threat Detection \| Threat Defence	en	information-and-network-security WordPress	robots llmsaihumans	email phone	none
mellanrum.io ↗	70 match 1 shared topics	Mellanrum Security	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8

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.