Fraud and Financial Crime Management
Protect your organisation, your business partners and your payments from financial crime and fraud before it happens.
Driving accountability in the fight against fraud.
Use machine learning and profiling to detect inconsistent behavioural patterns and create real time alerts
Combine data from multiple systems and analyse to find new patterns, test new rules and respond to new attacks
Record, document and replay suspicious behaviour for effective case management
Developed from Bottomline's proven expertise in payment processes and associated risks
Out of the box integration to all payment systems with short implementation times
Highly scalable - we can cover massive amounts of transaction volume accurately with no performance lags
Cross channel monitoring - we help you to block fraudsters who move across channels and organisational silos to succeed in their attacks
Machine learning - we combine supervised and unsupervised methods for a more cost effective way to find anomalies
Faster investigations - we make AI and machine learning work for you even if you lack data scientists
By gaining true visibility into user behaviour, as well as transaction monitoring, you are adding a critical layer of defense against fraud occurring in your organisation.
78% of cyber fraud is committed by authorised users ("malicious insiders") or by external parties that hijack an authorised user’s profile and access – but without sufficient user behaviour monitoring, organisations are missing a critical layer of insider threat management.
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