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All-Cause Fraud Prevention Platform | Scam, Payment & Account Takeover Protection | Outseer — 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
fense.ai ↗	68 match 2 shared topics	Fense.ai - Advanced E-commerce Fraud Detection and Prevention	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
onsist.com ↗	68 match 2 shared topics	Intelligent Online Brand Protection \| Onsist	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
badgeprotect.com ↗	67 match 2 shared topics	VirtualBadge Fraud Shield - AI-Powered Brand Protection	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
corelayersecurity.com ↗	66 match 2 shared topics	CoreLayer Security - AI Security Platform \| Full Lifecycle LLM Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
latchtrust.com ↗	66 match 2 shared topics	Brand Protection Software \| Anti-Counterfeit Technology	en	artificial-intelligence WordPress	robotsllmsaihumans	email phone	none
blacksight.ai ↗	66 match 2 shared topics	AI Data Loss Prevention \| Blacksight AI	en	information-and-network-security	robots llmsaihumans	emailphone	none
tovaapp.com ↗	66 match 2 shared topics	Tova - Advanced Scam Detection API	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
spog.ai ↗	65 match 2 shared topics	Cyber Governance & Exposure Management Platform \| SPOG.AI	en	information-and-network-security	robots llmsaihumans	emailphone	none
blinkops.org ↗	65 match 2 shared topics	Agentic Security Operations Platform \| BlinkOps	United States~ en	artificial-intelligence Webflow	robotsllmsaihumans	emailphone	none
incandor.com ↗	65 match 2 shared topics	Incandor — Behavioral Intelligence for Fraud & Abuse Detection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sanitized.ai ↗	65 match 2 shared topics	Sanitized Ai - Shadow AI Detection & PII Protection for Enterprises	Canada~ en	information-and-network-security	robots llmsaihumans	emailphone	none
lastprotocol.ai ↗	65 match 2 shared topics	Last Protocol - AI Security Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackfog.cloud ↗	65 match 2 shared topics	BlackFog AI Security for Data Exfiltration, Shadow AI and Ransomware Prevention	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
accesssecurden.info ↗	64 match 2 shared topics	Securden – The World’s First Unified Identity Security Platform \| Unifying PAM, EPM, IGA, CIEM & AI	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
topsecurden.com ↗	64 match 2 shared topics	Securden – The World’s First Unified Identity Security Platform \| Unifying PAM, EPM, IGA, CIEM & AI	en	information-and-network-security	robots llmsaihumans	emailphone	none
fenneclabs.ai ↗	64 match 2 shared topics	Fennec Labs \| Autonomous AI Penetration Testing Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
hackacademy.eu ↗	64 match 2 shared topics	Leading global bug bounty platform \| Intigriti	European Union en	information-and-network-security DatoCMS	robotsllmsaihumans	emailphone	none
backslash.security ↗	64 match 2 shared topics	Backslash \| Agentic AI Endpoint Security Platform	en	information-and-network-security Webflow	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.