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Sites similar to sicenter.io

Sicenter alternatives & similar sites

SICenter — See every exposure before attackers do — 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
mcpscanner.dev ↗	70 match 1 shared topics	MCP Scanner — Scan your MCP servers before attackers do. · by codelake	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
mcpscanner.app ↗	70 match 1 shared topics	MCP Scanner — Scan your MCP servers before attackers do. · by codelake	en	information-and-network-security	robotsllmsaihumans	emailphone	none
leakmonitorai.com ↗	69 match 1 shared topics	Leak Monitor AI — Your employees' credentials are already leaked. Find them before attackers do.	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
defendscanner.com ↗	68 match 1 shared topics	Defend Scanner — Dark Web Exposure Scan	en	information-and-network-security	robotsllmsaihumans	emailphone	none
deepinfo.com ↗	67 match 1 shared topics	Deepinfo \| Continuous Threat Exposure Management Platform	en	information-and-network-security	robots llmsaihumans	emailphone	none
leaklens.app ↗	67 match 1 shared topics	IGotYou — Swiss-Army Knife for Web Recon & Exposure (Beta)	en	information-and-network-security	robotsllmsaihumans	emailphone	none
productchase.app ↗	67 match 1 shared topics	Product Chase — Stop Amazon Hijackers Before They Cost You	en	information-and-network-security	robotsllmsaihumans	emailphone	none
leaktraces.com ↗	66 match 1 shared topics	LeakTraces — Digital Exposure Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
leakhunterai.com ↗	66 match 1 shared topics	LeakHunter AI - Dark Web Exposure Detection API	en	information-and-network-security	robotsllmsaihumans	emailphone	none
deep-explore.com ↗	66 match 1 shared topics	Deep Explore \| Stop attackers before they can make their first move	en	information-and-network-security	robotsllmsaihumans	emailphone	none
myattaxion.com ↗	66 match 1 shared topics	Attaxion: Agentless Exposure Management with #1 Asset Coverage	United States~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
breachinformer.com ↗	66 match 1 shared topics	BreachInformer — Credential Exposure Monitoring	en	information-and-network-security	robotsllmsaihumans	emailphone	none
deepblueteam.com ↗	66 match 1 shared topics	Deepblue - Uncover the gaps attackers would exploit	en	information-and-network-security	robots llmsaihumans	emailphone	none
leakguard.ai ↗	66 match 1 shared topics	LeakGuard - Credential Exposure Monitoring	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
ctem.org ↗	66 match 1 shared topics	Open Taxonomy for Continuous Threat Exposure Management \| CTEM.org	en	information-and-network-security	robots llmsaihumans	emailphone	none
1stcolumn.net ↗	65 match 1 shared topics	UncommonX \| See Everything	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
2ndcolumn.net ↗	65 match 1 shared topics	UncommonX \| See Everything	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
360privacy.io ↗	65 match 1 shared topics	Digital Exposure Reduction - 360 Privacy	en	information-and-network-security WordPress	robots llmsaihumans	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.