Social impersonation
Fake profiles across Instagram, TikTok, X, Facebook, YouTube, LinkedIn and Telegram, matched on photo, name and bio.
Eight capabilities on one detection engine, feeding one queue and one score. Nothing here is a separate product you have to reconcile with the others.
Three jobs, eight modules, and the panel each one opens in your workspace.
Accounts, domains and content using your name, wherever they appear.
Fake profiles across Instagram, TikTok, X, Facebook, YouTube, LinkedIn and Telegram, matched on photo, name and bio.
Lookalike, typosquat and homoglyph registrations found the day they appear, across every TLD.
Stolen video, images and livestreams reposted without licence or credit, traced to the account profiting.
The detections that cost money or trust the moment they go live.
Credential-harvesting pages, fake portals and payment fraud aimed at your customers.
Synthetic video, cloned voice and generated imagery using your likeness, captured with its source.
Removal in writing, early warning, and the evidence in your own tools.
Sentiment and narrative tracking, so you see a story forming before it lands.
Notices filed with platforms, registrars and hosts, tracked through to written confirmation.
Webhooks into your SIEM and SOAR, Slack and Teams, and client-ready PDFs under your own branding.
Twelve weeks of detections on a single protected brand. Social impersonation, lookalike domains, content theft, phishing, deepfakes and reputation signals all land in the same queue, scored on the same ramp.
Deepfake detections grew 9.5× over the same period — the fastest-moving category on the platform, and the one most customers add after their first month.
Most of what we find is low. Ranking is what stops that being your problem.
63% inside four hours. The 3% over two days are almost all registrars that answer by post.
A cloned account, a typosquat domain and a deepfake are three different detections from three different sweeps. They arrive in the same queue, ranked on the same scale, with the same actions available.
The severity scale is ordered, not decorative: verified, low, medium, high, critical. Position in the ramp is the meaning, and it is the same ramp in the chips, the charts, the exports and the API payload.
Twenty-plus platforms, every TLD, marketplaces, app stores, paste sites and the dark web — swept on a fifteen-minute cycle rather than a nightly batch, so a domain registered at 09:00 is seen before lunch.
Fake profiles, cloned accounts, copied bios and avatars, stolen posts and reels, scam comments and giveaway fraud.
Impersonated support handles, fake channels and groups, investment and giveaway scams run in your name.
Counterfeit listings, cloned shops, fake checkout pages and unauthorised resellers using your imagery.
Typosquats, homoglyphs, hyphenations and alternate TLDs; new registrations, passive DNS, certificate transparency and redirect chains.
Leaked keys and credentials, brand assets republished without licence, and paste-site dumps naming your domains.
Not covered yet, and we would rather say so: closed messaging apps we cannot lawfully read, private Discord servers you do not own, and anything behind a login we have not been given.
Five stages between a page existing and a ranked detection reaching your queue. Roughly one in thirty candidates survives all five.
A real browser loads the page the way a visitor does — scripts run, redirects resolve, lazy content appears. A cloaked storefront that hides from a plain crawler does not hide from a rendered one.
Your avatar, wordmark, handle pattern and bio become a signature. New accounts are compared against that signature rather than against a keyword, which is why "@creat0rname" is caught and "@creatorfanpage" is not.
We generate the domains an attacker would register before they register them — character swaps, homoglyphs, inserted hyphens, plural and alternate TLDs — and watch for the moment one starts resolving.
WHOIS, passive DNS, hosting, certificate history and the relationships between assets. This is what turns four separate findings into one operator running four things.
A language model reads the assembled evidence and rates intent and brand impact. That rating is what sets severity — so the ramp reflects what the thing is doing, not how closely a string matched.
Webhooks, a REST API and native destinations — so nobody has to remember to check another dashboard.
A ranked detection in the channel that owns it, with the action buttons attached.
Structured events with the full evidence payload, ready to correlate against what you already collect.
Every state change — detected, evidenced, filed, removed, reopened — posted to your endpoint.
Client-ready reports under your own branding, per asset or across a whole roster.
The free scan uses the same detection pipeline as every paid plan. What changes on a plan is coverage depth, takedown priority and who handles the case.