Authentiq resolves a single durable identity across sessions, devices, and supply — then scores what they're doing using one of the most sophisticated methodologies on the market. Built for any platform where bad actors and money meet.
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. Provided Trust Score gives easy decision to take, Block on untrusted, verify more on suspicious, approve the trusted
Redirect the user through a screening environment we run end-to-end — consent gate, adaptive browser challenge, multi-location IP probes, browser extension checks. Profiling questions are optional: run an identity-only screen for silent verification, or layer in postal-code lookup, email-risk grading and open-end AI-based analysis when you need them.
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 count how varied the source addresses are over time — diversity beyond normal use is suspicious.
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.
Onboarding a small group of partners through summer. Early partners help shape the integration and get founding pricing locked in.
Request access →