Stop the identity theft that passes every credential check
Identity theft and Man-in-the-Middle attacks defeat authentication precisely because authentication is a single moment. DetectX® tracks activity across online and mobile banking and builds a unique digital identity for each customer, a layer of security that extends beyond passwords and biometrics.
- 1Observe
- 2Model
- 3Detect
The DetectX® Approach
Digital Identity is one module of the DetectX® platform, integrating with Risk-Based Profiling and Behavioural Analysis for a complete Understand Your Customer framework.
Comprehensive digital behaviour analysis
Tracks and analyses customer interactions across all digital channels, capturing unique behavioural patterns.
Device interaction
Device
Typing speed, mouse and touch movements, and gyroscopic data.
Session signals
Technical
IP address, geolocation, operating system, language settings and session length, forming a unique, dynamic digital profile.
Normal versus suspicious
Behaviour
Behavioural insights that establish normal versus suspicious activity, strengthening identity verification beyond passwords and biometrics.
Advanced predictive analytics
Supervised and unsupervised learning identify known and unknown patterns in real time, and a rule designer lets compliance teams add their own criteria.
Supervised and unsupervised
ML modelling
Automatically identifies known and unknown patterns in real time, reducing false positives and detecting complex cyber threats.
Customisable parameters
Rule designer
Tailor fraud detection rules for unique high-risk behaviours and add client-specific criteria to the detection engine.
Regulatory auditing
Compliance
Transparent model lifecycle management providing traceability and accountability for all threat detection activities.
Into the same queue
Detected anomalies open as alerts in the same AlertViewer as every other DetectX® module.
Interactive alert management
Alerts
Real-time alert reviews, task assignment through custom workflows, and comprehensive reporting with multidimensional analytics.
One customer view
Context
Identity signals sit alongside screening and monitoring signals on the same customer.
Traceability
Record
Model lifecycle and detection activity are recorded for regulatory review.
Key Benefits and Impact
Credentials prove what someone knows. Behaviour shows who they are.
DetectX® builds a continuous behavioural profile per customer out of device interaction and session signals, so a session that passes every credential check and still does not look like that customer is visible as an anomaly rather than as a successful login.
WHAT A DIGITAL IDENTITY CARRIES
Why DetectX®
A password is a moment.
Behaviour is a record.
One identity alert, as the record holds it
Digital Identity integrates with Risk-Based Profiling and Behavioural Analysis for a complete Understand Your Customer framework, and shares the AlertViewer and the audit trail with every other DetectX® module.
Step 1 of 4 · Observe
The profile is built from the session, continuously
Typing speed, pointer and touch movement, gyroscopic data, IP, geolocation, operating system and session length are captured across every digital channel.
Recorded: the signals captured, and when.
Step 2 of 4 · Model
Each customer is their own baseline
The comparison is against that customer's established pattern, not against a population average, so an unusual session is unusual for them.
Recorded: which signals deviated, and by how much.
Step 3 of 4 · Detect
The alert opens with its evidence attached
The anomaly opens as an alert carrying the signals that produced it, in the same queue as screening and monitoring alerts.
Recorded: the signals, the rule and the score.
Step 4 of 4 · Decide
The judgement joins the model's own record
The outcome is recorded with the signals that raised it, under the same transparent model lifecycle management the detection runs in, so the traceability a regulator asks for covers the model and the judgement made on it.
Recorded: the decision, the signals it was made on, and the author.
Common questions
Device interaction behaviours such as typing speed, mouse and touch movements and gyroscopic data, together with technical information including IP address, geolocation, operating system, language settings and session length.
No. It is a layer of security that extends beyond traditional authentication methods. Credentials and biometrics still run; behavioural analysis is what detects a session that passes them and still does not fit the customer.
Yes. A rule designer lets you tailor detection for unique high-risk behaviours and add client-specific criteria to the engine, without a code change.
Into the same AlertViewer as screening and monitoring alerts, with real-time alert reviews, task assignment through custom workflows and multidimensional reporting. Identity signals sit alongside screening and monitoring signals on the same customer.
Digital Identity · DetectX®
Secure identities.
Confident compliance.
Book a session on your own channels. Bring your questions about the signals captured, the rule designer and how anomalies reach the alert queue.
- Understand Your Customer
- Digital Identity integrates with Risk-Based Profiling and Behavioural Analysis.
- Beyond authentication
- A continuous behavioural profile, not a single credential check.
- One platform
- Identity, screening and monitoring on the same AlertViewer.