Solutions - Fraud Prevention

Smart Security for Digital Banking

Monitor Plus DBFD™ (Digital Banking Fraud Detector) 

is a comprehensive, intelligent and multi-layered solution for fraud prevention and cyber threat containment in digital channels (mobile and web).

Use cases

  • Risk conditions associated with social engineering (phishing, vishing).
  • Mitigation of Account Take Over attacks.
  • Interception of information (attacks type MitM, MitB).
  • Evaluates risk conditions in mobile devices that may be associated with code a malicious from type sbelieve overlay.
  • Identifies and alerts high-risk environments and networks.
  • Monitoring and containment of fraudulent transactions and operations from digital channels.


Multi-layer security

Monitor Plus DBFD™ (Digital Banking Fraud Detector) employs a detection model that analyzes devices, environments and connection networks, behavioural biometrics and transactional habits throughout the session, generates robust second authentication factors, and detects patterns related to internal complicity for fraud.

Real-time loss reduction

Monitor Plus® analyses transactions (financial and non-financial) in milliseconds and interacts in real time with the authorizer to recommend authorizing or denying transactions. The system is also capable of executing automated defensive routines for increased effectiveness.

Increased detection, reduced friction

Monitor Plus® employs an assembly of expert models and artificial intelligence that optimizes the high level of detection and decreases false positives, reducing customer friction and improving their satisfaction. Additionally, the reduced alert volume lightens the operational burden on the analysis team.

Device risk detection

Monitor Plus DBFDtm allows to identify risky conditions of the user's cell phone, such as detecting whether the device has been unlocked (Jailbreak - iOS) or rooted - (Root - Android), validate threats associated with malicious code type sbelieve overlay o identify and alert about high-risk networks.

Robust multi-factor authentication

Monitor Plus® enables dynamic and robust authentication challenges at different moments of a transaction for customer authentication or transaction authorization.



  • Advanced behavioural biometrics.
  • Detection of device, network and TOR environments, IPs, suspicious proxies, and alterations to information flow.
  • Man-In-The-Middle (MITM) and Man-In-The-Browser (MITB) detection.
Behavioural analysis during the session
  • Confirmation of identity through detection of browsing habits.
  • Detection of data tampering by malware, spoofing, emulation techniques, rooting, and hooking devices.
Channel monitoring
  • Monitoring and detection based on the account's digital channel behaviour.
Multi-channel and multi-product customer analysis
  • Comprehensive correlation of transactions for fraud detection (when combined with other Monitor Plus® prevention models).
Transactional analysis
  • Profiling of customer transaction behaviour to identify variations and risk conditions.
  • Monitor Plus DBFD™ interacts with the institution's authorizer in real time. For high-risk transactions, it is able to deny transactions and/or execute strong authentication processes.



Financial software
  • Onboarding fraud prevention.
  • Monitoring of internal transactions associated with sensitive data changes.
  • Assessment and detection of phishing cases.
During connection (login)
  • Assessment of customer device and access channels.
  • Risk assessment of the device.
  • Geolocation.
  • Multi-factor authentication.
During the session
  • Validation of spoofing conditions.
  • Analysis and evaluation of user behavior in the session.
  • Identification of non-human behavior during the session.
During the transaction
  • Comprehensive analysis of client elements (mobile and web).
  • Man-in-the-Middle, Man-In-The-Browser attack detection
  • Assessment of transactional behavior
  • Multi-factor authentication for authorization of risky transactions
After session
  • Detection of common points of fraud.
  • Assessment of transactions and operations.
  • Alert and investigation case management.



measures to prevent money laundering


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