Financial Services and Insurance
|
This collection of use cases provides insights specifically for financial services organizations. The performance and security of a financial services organization’s environment plays a crucial role in delivering positive customer experiences, while maintaining corporate reputation and financial performance. The financial services marketplace continues to evolve with digital transformation. Key strategic priorities include regulatory compliance, operational resilience, cyber security, and financial crime prevention. For more resources on how financial services organizations use Splunk software, see Financial Services & Insurance solutions. For additional security and observability use cases that could benefit your organization but are industry-agnostic, visit Security Use Cases and Observability Use Cases. |
|
Industry deployment guides
Detecting and preventing fraud with the Splunk App for Fraud Analytics
The Splunk App for Fraud Analytics (SFA) is a comprehensive fraud detection solution built on the existing development frameworks included with Splunk Enterprise Security. Using the risk-based alerting framework, SFA provides fraud prevention teams the ability to improve alert fidelity and reduce false positives, ensuring that financial, legal, compliance, and reputational losses are minimized.
Featured use cases for financial services and insurance
Financial data analytics
Fraud detection
- Applying Benford's law of distribution to spot fraud
- Applying Zipf's law in fraud detection
- Detecting ATM fraud
- Detecting consumer bank account takeovers
- Detecting credit card fraud
- Detecting financial fraud using the Splunk App for Behavioral Profiling
- Detecting wire transfer fraud
- Monitoring for account takeover with the Splunk App for Fraud Analytics
- Monitoring for credit card fraud with the Splunk App for Fraud Analytics
- Monitoring for new account fraud with the Splunk App for Fraud Analytics
- Monitoring for wire transfer fraud with the Splunk App for Fraud Analytics
- Identifying fabricated data by using Ahlstrom conjecture
- Identifying indicators of fraud using geometric principles
- Monitoring for account abuse with the Splunk platform
- Monitoring for account takeover with the Splunk platform
- Monitoring money laundering activities with the Splunk platform
- Using modern methods of detecting financial crime
Machine learning
- Monitoring for account abuse with the Splunk App for Behavioral Analytics
- Monitoring for account takeover with the Splunk App for Behavioral Analytics
- Monitoring money laundering activities with the Splunk App for Behavioral Analytics
- Predicting failed trade settlements
- Using Amazon SageMaker to predict risk scores
Retail banking
Risk management
Additional use cases for financial services and insurance
You might also be interested in these use cases: