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Leaksid alternatives & similar sites

Deter and Investigate Insider Risks and Threats with LeaksID — 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
cryptosec.net ↗	66 match 1 shared topics	Cryptosec - Crypto Cybersecurity and Investigations	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cryptosec.ai ↗	66 match 1 shared topics	Cryptosec - Crypto Cybersecurity and Investigations	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cryptoriskmanagers.com ↗	66 match 1 shared topics	Cryptosec - Crypto Cybersecurity and Investigations	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cryptosec.co ↗	66 match 1 shared topics	Cryptosec - Crypto Cybersecurity and Investigations	Colombia en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
krofturg.com ↗	66 match 1 shared topics	Krofturg \| Navigating security risks with confidence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
binalyze.com ↗	66 match 1 shared topics	Binalyze - Automated Investigation and Incident Response	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
bawn.com ↗	66 match 1 shared topics	Crush Cyber Risk \| Bawn	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
krebsonsecurity.com ↗	66 match 1 shared topics	Krebs on Security – In-depth security news and investigation	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
confidenceasaservice.com ↗	65 match 1 shared topics	Red Canary: Find and stop cyber threats anywhere	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
3iwebinars.com ↗	65 match 1 shared topics	Internet Intelligence and Investigations Virtual Conference 2023	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hertseyes.com ↗	65 match 1 shared topics	HertsEyes - Investigations & Data Recovery	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0leak.com ↗	65 match 1 shared topics	ZeroLeak - Download App	en	information-and-network-security	robotsllmsaihumans	emailphone	none
conflictusa.com ↗	65 match 1 shared topics	Private Investigation \| Surveillance \| Security - Conflict International USA	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
mdm-security.org ↗	65 match 1 shared topics	MDM Security & Investigations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kortadelimited.com ↗	65 match 1 shared topics	Kortade — Protect your data from leaks & threats	en	information-and-network-security	robotsllmsaihumans	emailphone	none
digitaldefense.tech ↗	65 match 1 shared topics	DigitalDefense \| Protect Your Business from Cyber Threats	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mccrarythreatbeat.com ↗	64 match 1 shared topics	Threat Beat - Cyber and Critical Infrastructure News	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
mccrarythreatbeat.net ↗	64 match 1 shared topics	Threat Beat - Cyber and Critical Infrastructure News	en	information-and-network-security WordPress	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.