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AI Email Anomaly Detection | Stop Misdirected Emails | WaverSec Protect — 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 Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
gaetir.com ↗	69 match 2 shared topics	Gaetir \| Behavioral AI Email Protection	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
silentguard.ai ↗	67 match 2 shared topics	SilentGuard — Silent protection for the AI era	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 10
threatlensai.com ↗	67 match 2 shared topics	ThreatLens AI® - Predict. Prevent. Protect. \| AI-Powered Threat Detection	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
360fraud.ai ↗	67 match 2 shared topics	End-to-End AI Fraud Prevention \| 360 Fraud Protection	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
360fraud.com ↗	67 match 2 shared topics	End-to-End AI Fraud Prevention \| 360 Fraud Protection	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
adaptiveops.org ↗	66 match 2 shared topics	Adaptive Ops \| Protection & Innovation	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
waultsec.com ↗	66 match 2 shared topics	WaultSec — AI-Powered Server Security & Threat Detection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nubo.co ↗	66 match 2 shared topics	Nubo AI Agents - Intelligent Cybersecurity Threat Detection	Colombia en	information-and-network-security	robotsllmsaihumans	emailphone	none
onsist.be ↗	66 match 2 shared topics	Intelligent Online Brand Protection \| Onsist	Belgium en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
detectivhq.com ↗	66 match 2 shared topics	Detectiv - Real-Time Transaction Fraud Detection	United States~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
botdemon.com ↗	66 match 2 shared topics	Bot Demon — Real-Time Monitoring & Protection for Autonomous AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
scammukt.com ↗	66 match 2 shared topics	ScamMukt — AI-Powered Scam Detection & Phishing Prevention \| ScamMukt	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aegisprompt.ai ↗	66 match 2 shared topics	AegisPrompt — AI Data Loss Prevention \| Protect Sensitive Data from AI Chatbots	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
scamraven.com ↗	66 match 2 shared topics	ScamRaven - AI Scam Detection \| Check if a Website is Scam or Legit	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
outseer.com ↗	65 match 2 shared topics	All-Cause Fraud Prevention Platform \| Scam, Payment & Account Takeover Protection \| Outseer	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 7
outseer.io ↗	65 match 2 shared topics	All-Cause Fraud Prevention Platform \| Scam, Payment & Account Takeover Protection \| Outseer	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 7
boldsecuritysystems.com ↗	65 match 2 shared topics	Bold Security \| Stop User-Based Threats at the Source	en	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
boldsecuritysolutions.com ↗	65 match 2 shared topics	Bold Security \| Stop User-Based Threats at the Source	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.