unilinx.ai
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The intelligence layer over your existing vendors

See the signals others miss.

unilinx.ai doesn't ship an SDK and doesn't collect a single new data point. We sit on top of the device, behavioral, network, telco, remote-access and malware vendors you already use β€” and correlate their signals into one intelligence graph and one decision your team can act on.

Vendors
connected in minutes, no SDK
< 180ms
median decision latency
1 graph
unified across vendors
Device
Behavior
Network
Telco
Remote access
Malware
Risk decision
18 / 100
How it works

From your vendors' signals to an explainable verdict.

unilinx.ai sits on top of the vendors you already trust β€” no new SDK, no duplicate data collection. Three stages, one continuously-learning intelligence layer, fully explainable end-to-end.

01

Connect

Plug in the feeds you already receive from your device-intelligence, behavioral-biometrics, network, telco and EDR vendors. No unilinx SDK, no duplicate collection β€” just your data, normalized.

02

Correlate

A live intelligence graph links identities, devices, IPs and behaviors across sessions β€” surfacing shared fingerprints and suspicious clusters your vendors couldn't see in isolation.

03

Decide

Every risk score ships with the contributing vendor signals, a confidence band, and a timeline your analysts can defend in audit.

Use cases

One platform. Every fraud & intrusion surface.

Deploy once and cover the attack patterns that cost your team the most.

Cross-vendor fraud rings

When shared devices, payment methods and behavioral tells surface across vendors that can't see each other, unilinx stitches them together and reveals the ring.

Fewer alerts, better alerts

A vendor fires a high-risk signal, but three others on the same session look clean. Our AI uses the full picture to suppress the noise β€” fewer false positives, fewer analyst wake-ups.

Mule & money-laundering networks

Mule rings and laundering flows only appear when you see fund movement across users, devices and channels together. unilinx correlates that flow across your vendors and flags the whole network, not a single leg.

Account takeover

Correlating behavioral drift with device and network signals across vendors lets our AI catch ATO the moment a session turns hostile β€” without the single-signal false alarms.

Platform

Built for teams that can’t afford to miss.

Purpose-built infrastructure, explainable by default, and priced per decision β€” not per vendor.

Real-time processing

Sub-200ms decisions at the edge, continuously re-scored as new signals arrive.

Aggregation, not replacement

Bring your existing device, behavioral, network, telco and EDR vendors. unilinx.ai aggregates what you already pay for β€” we don't collect, we don't replace.

Explainable AI

Every decision ships with the top contributing signals, confidence band, and a clear verdict rationale.

Scalable architecture

Horizontally scalable graph store handling billions of edges without blowing out latency budgets.

Signals we provide

We don't just correlate the signals. We can deliver them.

unilinx.ai is SDK-free by design β€” we correlate the feeds you already have. But when a feed is missing, our partner betterbehave generates it for you: behavioural biometrics and device intelligence through a lightweight SDK that stays invisible to your users, and network intelligence server-side. Same graph, same explainable decision.

SDK Β· via betterbehave

Behavioural biometrics

Keystroke dynamics, pointer rhythm, scroll cadence and gesture physics β€” a continuous, passive behavioural fingerprint that flags the instant a session stops behaving like its owner.

Keystroke Β· Pointer Β· Scroll Β· Gesture
SDK Β· via betterbehave

Device signals

200+ device attributes β€” OS, GPU, fonts, codecs, sensors and browser entropy β€” with headless, emulator and spoofing detection. Recognise the real device; unmask the fake.

Fingerprint Β· Headless Β· Emulator Β· Spoof
No SDK Β· server-side

Network signals

VPN, proxy and TOR classification, datacenter-ASN detection, impossible-travel and velocity β€” the transport-layer tells that expose automation hiding in plain sight.

VPN / Proxy / TOR Β· ASN Β· Impossible travel
The unilinx graph

Every vendor. Every signal. One graph.

This is a live view of how unilinx.ai stitches the signals from your existing vendors into a single interactive intelligence graph. Drag a node. Open a cluster. Follow the thread that ties a clean-looking session to a fraud ring three hops away.

Inside the platform

A control room built for analysts.

Investigate a session end-to-end β€” from the vendor signal that triggered it to the wider identity cluster it belongs to.

app.unilinx.ai/dashboard
Explore the live demo
Workspace
Overview
Sessions
Graph
Sessions
2,481
+12%
High risk
187
+4%
Fraud rate
3.2%
-0.4%
Latency
178ms
-6%
Risk over time
Recent high-risk
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Walk through a live attack.

No signup. A fully interactive dashboard with realistic sessions, signals and a connected intelligence graph.

Open the demo