Authentiq scores every visit silently and resolves one durable identity across sessions and devices. When the signals aren’t enough, or the action really matters, it steps up to a short, consent-based face check — the ultimate proof of human. You decide when to ask. Once someone is verified, their identity carries the proof, so real people aren’t checked over and over. For any platform that ranks and trusts real people.
Request access →Playwright, Puppeteer, anti-detect browsers — scripted farms completing surveys, claiming bonuses, and signing up at volume behind residential proxies.
The same actor across incognito tabs, devices, accounts, and supply lines. Invisible without cross-session linkage and a durable identity model.
Fabricated KYC, card-testing rings, SIM-swap, account takeover. Identity-shaped attacks that pass surface checks but fail under cross-signal correlation.
Real fingers, fake intent. Sweatshop panels, scalper coalitions, click farms — detected through cadence, geography, and supply-side correlation.
Drop our SDK into login, registration, checkout — any surface. We sit silently underneath and tell your backend who you're really talking to: approve the trusted, block the untrusted, step up the suspicious. Most real people never notice we’re there.
When the signals aren’t enough, redirect the user through a screening environment we run end-to-end, behind a consent gate. Run an identity-only screen for silent verification, layer in questions when you need them, or step all the way up to a short face check — a live person, unique on your platform, no documents — when only proof of human will do. Verified people are remembered: they skip the check next time, until something changes or your policy asks for fresh proof.
We watch for the tells that a script is driving the browser instead of a person — automation frameworks, control-protocol traces, headless modes. The cleaner the runtime, the higher the trust.
A browser's claims about itself should match how it actually behaves. We catch mismatches between what the page reports and what we observe — spoofed identity strings, canvas blockers, anti-detect browsers.
We ask the browser to do a small amount of invisible work on every visit. Real users solve it in milliseconds; high-volume scripts pay a steep cost on every account, every claim, every signup.
Browser add-ons betray purpose. We probe for the tooling fraud farms rely on — anti-detection plugins, automation helpers, fingerprint scramblers — without listing or storing the extensions a user has chosen privately.
Hosting providers and known-abusive networks are not where your real customers come from. We rate the network the visit is arriving on and weight it against the rest of the picture.
Tor exits, commercial VPNs, and proxy networks are signals on their own. We detect them — and where the user is hiding a different real location underneath, that's a stronger signal still.
Some connections look clean on the surface but mask a different true location underneath. We combine deep packet inspection with network-path analysis to expose the connection's real origin — flagging when the address a browser presents doesn't match where its traffic actually comes from.
Real people don't move between continents in minutes. We compare each visit against the identity's recent history and flag jumps that physics doesn't allow.
Scripted attacks come in waves — the same account, the same address, or the same person hitting your endpoints faster than a human would. We track activity across short and long windows and surface the bursts.
One person should not appear from a dozen different networks in a single week. We measure how spread out an identity is — the addresses, countries and browsers it turns up on, and how many identities share an address — and flag a footprint wider than ordinary use explains.
Real interaction has shape — pauses, typing rhythm, mouse paths, the timing between actions. We compare each visit's behavior against what a real human typically does on your surface.
The email address itself is a signal. Disposable domains, role accounts, breach exposure, and abuse history all factor in — when a customer supplies an email, we score it. We count the accounts too: one device quietly holding six of them is the same question asked from the other side.
Onboarding a small group of partners now. Early partners help shape the integration and the step-up policies, and get founding pricing locked in.
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