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
Why Bottomline's Insider and Employee Fraud solution?
74% of banks are concerned about insider fraud and collusion risks to their organisation and 77% agree that employees working from home has increased the risk of insider fraud and data leakages.Read More here Source: 2021 Business Payments Barometer
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.
A single user-friendly, web-based interface presents the results of the analysed information in dashboards, reports and charts, combining information from performance events, suspicious fraud events and alerts.
No re-keying of information needed from your alert system into your case system as they are on the same system and fully integrated.VIEW DATASHEET
Collect information in a variety of ways from databases, data warehouses, log files and other sources in real-time and batch. Data captured is stored in one centralised repository and is immediately analysed, creating alerts and reports as defined by the business rule engine.VIEW DATASHEET
Analyse your rich repository of data and test new rules to enhance and sharpen monitoring capabilities.
Use the intelligence the system gathers to identify new patterns and preempt crime, data leakage and theft before it happens.VIEW DATASHEET
Extend behaviour monitoring to provide robust case management. Combine the video replay capabilities with further analysis and audit for uncompromising evidence of employee accountability.
Standardise investigations by applying consistent methodologies across the organisation, resulting in increased productivity and greater effectiveness in combating crime.VIEW DATASHEET
New Payment Services: The Threat of Tech Giants
Probably the greatest advantage which tech giants have over banks and other current payment service providers today is that they use this data in a more productive way.
Visit our partners at Smart Payments to read the full article.
Over the past 18 months, internal fraud has been brought to the forefront due to the impact of the pandemic with many employees asked to work from home at short notice.
Listen to a panel of industry experts as they share their incites and best practices around this evolving landscape.
57% of fraud is perpetrated by, or in conjunction with, authorized users inside the organization – but without sufficient user behaviour monitoring, organisations are missing a critical layer of insider threat management.
Source: PwC’s 2020 Global Economic Crime and Fraud Survey
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