Scam detection
Protect vulnerable customers from social engineering and authorized push payment (APP) fraud. Identify high-risk sessions in real time through behavioral analysis and stress indicators.
- Real-time behavioral stress analysis
- Social engineering pattern detection
- Coaching and coercion indicators
- APP fraud intervention triggers
- Event
- PAY 7C14-D5
- Rail
- Instant payment
- Amount
- €3,200.00
Why it was flagged
- Session far longer than this customer's normalBehavior
- Hesitation before each field, then an IBAN pasted inBehavior
- First payment to an overseas crypto exchangeBehavior
- Transfer would empty the savings accountBehavior
The customer sees a targeted investment-scam warning before they can confirm.
- <50ms
- Sessions scored while the payment is being set up.
- Coaching signals
- Hesitation and scripted input read from the session.
- Targeted warnings
- Messages matched to the scam type, not generic pop-ups.
- Romance to impersonation
- Romance, investment, impersonation and tech-support scams.
Security built around people
Scams target people, not protocols. Vyndarix monitors sessions to detect when a customer is being coached or coerced into making a transfer.
Interaction dynamics
Analyze hesitation, unusual navigation and cursor movement that suggest someone is following external instructions.
Social engineering detection
Identify indicators of coercion and psychological manipulation through shifts in behavioral biometrics.
Coaching indicators
Detect abnormal session lengths and pauses that typically occur when a victim is being coached over the phone.
Cognitive stress analysis
Measure departures from the customer's baseline behavior to surface high-stress sessions that signal a scam in progress.
Protect customers when they're most vulnerable
Vyndarix identifies the human element of fraud that traditional systems miss, so you can step in while the payment can still be stopped.
- Detect APP fraud in real time
- Identify social engineering signals
- Protect high-risk customer segments
- Reduce emotional and financial harm
- Lower operational intervention cost
- Build customer trust
How a scam is stopped
- 1
Monitoring
Interactions are checked continuously during the session.
- 2
Detection
A suspicious pattern, such as coaching or coercion, is identified.
- 3
Intervention
A warning matched to the scam type is shown to the customer.
- 4
Resolution
The transfer is paused or blocked before money leaves.
Questions about scam detection
What types of scams can be detected?
Our platform detects romance scams, investment fraud, impersonation scams, tech support fraud, and other social engineering attacks that manipulate victims into making payments.
How does behavioral analysis detect scams?
We analyze interaction patterns, session behavior, and cognitive stress indicators to identify when users may be acting under external manipulation or coercion.
Can scam detection work in real-time?
Yes, our platform monitors sessions continuously and can trigger warnings or verification steps in real-time when high-risk indicators are detected.
Protect your most vulnerable customers
See how behavioral analysis spots scams in progress, before customers send money they can't get back.