Banks have always identified devices.

DeviceIQ is the first layer that validates whether they can actually be counted upon. 

DeviceIQ validates device environment integrity at the point it matters most, including agentic AI, deepfake injection, and AI-assisted access vectors your current stack was never built to see. 

 


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Where device trust decisions happen today

Access is granted before the device environment is ever checked. A recognized device can still be running a compromised OS, a cloaked browser, or an automation framework underneath. When customers upgrade their devices, recognition loses track of them. Legitimate change looks identical to evasion. The attack surface has moved. Banks need device intelligence that validates the environment, persists across device change, and draws on signals from across the ecosystem.

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Proven results

Pre-login validation, persistent identity across device change, and cross-bank network signals combine to give banks a level of device precision that majority of device recognition tools were not designed to deliver.

~60%

of genuine device upgrades identified correctly within two weeks of implementation

0%

false positives on genuine device changes

12.5x

DeviceIQ found fraud devices are 12.5x more likely to show signs of identity evasion than genuine user devices

1.7B

devices protected worldwide through the BioCatch network.


Why this cannot wait

The execution environment is
the attack surface.

Modified OS layers and cloaked browsers operate beneath every recognition-based control. Access is granted before anything flags it. 


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A device behind fraud at one bank may look clean at the next. 

Without cross-institution visibility, fraud teams are forced into making decisions without the full picture.

Genuine customers pay for device uncertainty.

New or upgraded devices trigger unnecessary friction because the environment cannot be validated in time.


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Threats have changed.
Your tools may not have.

Fraudsters operate agentic browsers that mimic genuine sessions. They inject deepfakes into authentication flows. They run automation frameworks locally that look identical to real users on recognized devices.

A cloaked browser on a compromised device can pass your existing recognition checks. An automated session built to imitate a genuine AI browser leaves almost no trace.

The question is no longer whether you recognize this device. It is whether this device environment can actually be relied upon, right now, before access begins. That is what DeviceIQ was built to answer.

 

 

Why device reliability starts with DeviceIQ  

Persistent recognition.
DeviceIQ establishes a persistent device identity across web and mobile environments, recognizing legitimate device upgrades. This minimizes friction for genuine users while also identifying attempts by bad actors to manipulate or mask the identity of their devices.

The network effect.
Unlike traditional device networks that often share only blocked device lists, DeviceIQ draws on insights across BioCatch’s solutions to reveal whether a device 
was previously linked to mule activity, scams, or account takeover—helping banks stop rogue devices and understand risk faster.

Stopping criminals before login.
Before users even scan their face or enter a password, DeviceIQ detects jailbroken devices, missing sensors, unauthorized code, and other fraud indicators—allowing banks to block compromised devices from accessing digital banking or flag high-risk sessions before they begin. 


Full compliance
Assigned device identities meet regulatory, security, and privacy requirements in all geographies. DeviceIQ doesn’t collect any names, addresses, or user identity numbers. Both user and account data are pseudonymized to guarantee and maintain user privacy.

Built for what’s coming.
Agentic browsers. Deepfake injection. AI-assisted access vectors. These are not future threats. They are active today. DeviceIQai extends the same trusted device foundation to detect and distinguish them at the execution layer, without blocking legitimate innovation and without adding implementation overhead.  


Device reliability for the AI era with DeviceIQai

Your device identification foundation is only the beginning. AI-driven threats do not just target credentials. They target the session itself. Fraudsters operate agentic browsers that mimic genuine navigation, inject deepfakes directly into authentication flows, and build execution environments that pass every recognition check you have.

DeviceIQai was built specifically for this layer. It detects agentic browser activity and deepfake injection in a user session. It distinguishes a genuine user using agentic browser capabilities from a fraudster taking advantage of similar tools with malicious intent, making banking safer every day.

The device intelligence layer your entire security stack relies on

Together, DeviceIQ and DeviceIQai strengthen your device reliability foundation and prepare your architecture for the threats that may already be leaving you vulnerable today.

Your existing controls may only be as good as the device context they inherit. It is the device intelligence layer that makes your fraud tools operate with precision. And DeviceIQai ensures that layer is ready for what existing tools were never designed to see.

 

Find out what is happening at your device layer and preempt the threats your device layer may not yet be equipped to see.

Join our device intelligence experts for a 30-minute briefing. We will walk through the execution-layer threats your current stack is not seeing and show you exactly where DeviceIQ fits in your architecture.


Request a Briefing