The End of Traditional
Digital Banking Security
Beyond FIDO -> Adaptive Orchestration
Rule Based Policy
Unveiling the Future of Interactive Experiences
OneSpan Cronto
Color QR to Elevate Trust in
Online Banking Transaction
Fraud Risk Suite
Maintaining trust and beating fraud
with intelligence and detection
Detection Gaps
With the addition of the behavioural biometrics technology, we have been able to increase impersonation scam detection rates to over 90%.
The Problem
Fraud evolves,shifts, oves and changes
Successful fraud attacks have one thing in common: they evade visibility. Lack of visibility grows from a lack of information. Impersonation scams, hybrid attacks, Device Takeover (DTO) and multi-channel attacks, all thrive if they're executed within your control gap.
Detection gaps : The fight for coverage
Control starts with visibility. It's about your customer's devices, and how they navigate your most used , fastest growing channels. More importantly, the ability to correlate information across online channels is key. Many fraudsters are successful because the telemetry across web, mobile, device and threat intel isn't correlated. The puzzle pieces aren't connected. Individual signals don't mean as much as the story they tell.
How It Works
With OneSpan app sensors , you will be able to gain visibility on the most vital part of your customer's online journey - the part between authentication and the transaction. This is where nefarious fraudster behaviour exhibits itself; whether it's coaching, putting on pressure, automation or take-over.
Best-in-Class
Device Risk
Mobile Malware Detection
Heuristic detection for 100+ malware families
Remote Access Tool (RAT) Detection
Coverage for Anydesk, Teamviewer and more
Call Intelligence
Detect Indicators of vishing scams
Location Intelligence
Identify use of VPNs, TOR and location anomalies
Device Fingerprinting
Identify New and returning devices
Best-in-Class
Device Risk
Identity Model
Compares current user behaviour to expected behaviour based on historical sessions
Fraudster Model
Compares current user behaviour to known fraudster behaviour based on fraudulent sessions
Based on Analysis of :
Keystroke
Navigation
Touch
Motion/Roatation
OneSpan Fraud Risk Suite in a nutshell
Capability
Comments
Web
Android
iOS
Device Fingerprinting
Web is Browser Fingerprint
Mobile is Device Fingerprint
Mobile Malware
99.9% of Mobile Malware is on Android
Remote Access Tools
Detection Methods differ on Web vs Mobile
Location Intelligence
Call Intelligence
Cross Channel Call Detection
Behavioural Analytics
Sensors are different for Web Vs. Mobile
OneSpan Fraud Risk Suite in a nutshell
- Anti-fraud risk suite platform
- SDK API for end-point visibility
- Per-device risk modelling
- Threat Intelligence with API & Portal
- Managed Service & Support