Know what is really on the other end of the connection.
We build and tune device and browser fingerprinting that separates real customers from bots, emulators and repeat offenders — without leaning on cookies or personal data.
- Signal layers
- Browser · Network · Behaviour
- Deployment
- Self-hosted or managed
- Privacy
- GDPR-aligned, no PII required
One trait says little. Hundreds of them, combined, say a lot.
Every client leaks small, stable traits: how it renders a canvas, which fonts and codecs it reports, how its TLS handshake is ordered, how fast a person moves the pointer. On their own they are noise. Combined and weighed correctly they form an identifier that survives cleared cookies, private windows and rotating IPs.
We design that combination for your traffic. That means choosing signals that are stable for your real users, catching the inconsistencies automation frameworks leave behind, and keeping the system explainable so your fraud and security teams can trust its verdicts.
Fingerprinting Technology
Browser & device signals
Canvas, WebGL, audio, fonts, media devices and hardware hints, collected by a light script that does not slow down your pages.
Network fingerprints
TLS (JA3/JA4), HTTP/2 settings and header ordering checked server-side, where spoofing is much harder.
Automation detection
Headless browsers, emulators, anti-detect browsers and instrumentation frameworks identified by the contradictions they introduce.
Behavioural signals
Pointer, keyboard and timing patterns scored to tell people from scripts at login, signup and checkout.
Risk scoring & rules
Signals fused into a single, explainable score with rules your team can read, change and audit.
Resilience testing
We attack your existing fingerprinting the way a determined adversary would, and report what got through.
From first signal to production
A short, measured path — we prove accuracy on your own traffic before anything blocks a real customer.
- 01
Baseline
Shadow-mode collection on your traffic to learn what normal looks like for your users.
- 02
Model
Select stable signals, weigh them, and measure collision and drift rates.
- 03
Integrate
Wire scores into login, signup, payments or your WAF, starting with flag-only.
- 04
Operate
Monitor drift as browsers update and adversaries adapt, and retune on schedule.
Where it earns its keep
- 01
Account takeover
Spot logins from devices a customer has never used, even with the right password.
- 02
Multi-accounting & promo abuse
Link accounts created from the same device, however many emails are used.
- 03
Payment fraud
Add device reputation to checkout decisions and cut chargebacks.
- 04
Bot & scraper control
Throttle automated traffic precisely instead of blocking whole IP ranges.
Common questions
Is fingerprinting compatible with GDPR?
It can be, when it is used for security and fraud prevention, documented in your privacy notice and kept proportionate. We design with data minimisation in mind and help you document the legitimate interest.
Do you replace our existing fraud tool?
Usually not. Most clients feed our signals into the tools they already run, or use our testing to find out where their current vendor is blind.
How do you handle browser updates?
Signals are versioned and monitored for drift. When a browser release changes a trait, we see the shift and adjust weights before accuracy drops.
Other specialist capabilities
Advanced Security Services
Red teaming, threat hunting and detection engineering for organisations facing capable adversaries.
Large-Scale Scraping
Reliable pipelines that turn millions of public web pages into clean, structured datasets.
Custom Solutions
Software, integrations and data systems built around your problem — not the other way round.
Find out what your current defences miss.
Start with a resilience test of your existing bot and fraud controls. You get a written report and a clear list of fixes.