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IDask - Anti-Deepfake Identity Verification | idask.com — 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
helloveriff.com ↗	72 match 2 shared topics	Global AI Identity Verification & KYC Solutions - Veriff	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
viralverify.com ↗	70 match 2 shared topics	ViralVerify - Media Authenticity API \| Deepfake Detection & Verification	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
onsefy.com ↗	69 match 2 shared topics	OnSefy - Stop Fake Signups with AI-Powered User Verification	en	information-and-network-security Paddle	robotsllmsaihumans	emailphone	none
apiclub.in ↗	68 match 2 shared topics	APIclub.in - AI-Powered Identity & Business Intelligence Platform \| Secure Digital Verification	India en	artificial-intelligence	robotsllmsaihumans	emailphone	none
antigenailabs.com ↗	67 match 2 shared topics	SumurHoki – AI Defense & Content Verification Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyber-kyc.store ↗	66 match 2 shared topics	GPT / Claude KYC Verification — Pass in 5 Minutes \| KYCPass	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
auth0.ch ↗	66 match 2 shared topics	Secure AI Agent & User Authentication \| Auth0	Switzerland en	artificial-intelligence	robotsllmsaihumans	emailphone	none
facesentry.com ↗	66 match 2 shared topics	FaceSentry - AI Deepfake Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
fabraix.com ↗	66 match 2 shared topics	Fabraix — Adversarial Verification for AI Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cyberstrategy.tech ↗	66 match 2 shared topics	CyberStrategy Consulting \| Identity, Software, and AI Automation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
entro.security ↗	65 match 2 shared topics	Agentic AI & Non-Human Identity Security Platform \| Entro Security	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
bridgetos.com ↗	65 match 2 shared topics	BridgetOS \| Recursive Identity Enforcement	en	information-and-network-security	robotsllmsaihumans	emailphone	none
onmero.com ↗	65 match 2 shared topics	Onmero International \| AI-Powered Identity & Security	en	information-and-network-security	robotsllmsaihumans	email phone	none
resonancerestoration.com ↗	65 match 2 shared topics	Sovereign 144 \| AI Cybersecurity & Mathematical Verification Platform — Russellville, AR	en	information-and-network-security	robotsllmsaihumans	emailphone	none
falsifinder.com ↗	65 match 2 shared topics	FalsiFind: Bank-Grade Deepfake Detection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
falsifind.com ↗	65 match 2 shared topics	FalsiFind: Bank-Grade Deepfake Detection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
detect-fakes.com ↗	65 match 2 shared topics	Liveness Detection (PAD) & Deepfake Defense \| BioID	Germany~ en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
basedagents.ai ↗	65 match 2 shared topics	BasedAgents — Identity for AI Agents	en	artificial-intelligence	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.