DETECTING TRANSACTION ANOMALIES
Delta Bravo empowers administrators to be proactive if transactions start to spike above or fall below the norm so they can take action before an outage in service or a fraud scenario. Delta Bravo evaluates expected data volumes based on historical patterns and applies boundaries based on volume variation. This system is then used to compare real-time transaction value to expected volume, identifying anomalies in activity, resource consumption and more.
REDUCING RISK OF REGULATORY PENALTY
Within seconds, Delta Bravo AI identifies compliance gaps across the entire data tier, prioritizes them and provides the step-by-step instructions and code for the fix. Financial firms manage an ever-growing amount of data, coming in from trading systems, mobile applications, reporting platforms and more. IT Ops and Compliance teams are turning what used to take months into resolution in minutes. This solution is applicable to SOX, GLB, GDPR and more.
Detecting and preventing fraud is a huge challenge for banks given the large variety of fraud types and the volume of transactions that need to be reviewed and manual or rules-based systems can’t keep up. Delta Bravo AI analyzes transactions and looks for indicators of suspicious behavior including transactions with dubious jurisdictions, suspicious companies or known parties. If fraud patterns are detected, Delta Bravo AI triggers processes to reject transactions outright or flag transactions for investigation and can even score the likelihood of fraud, so investigators can prioritize their work on the most promising cases.
IMPROVING APPLICATION PERFORMANCE
When application services are not available, customers use more expensive call centers for support. With payment applications, an outage means lost transactions, revenues and increased customer churn. Delta Bravo AI forecasts performance problems up to 30 days in advance and provides step-by-step instructions and code for the fix. For cloud applications, we can forecast resource usage trends and set up a plan for resource management that keeps performance levels high and costs low.
CREDIT RISK ANALYSIS
Delta Bravo AI identifies credit payment and churn risks, leveraging various data sources to score applicants. Scoring and risk analysis is based on a number of factors like current income, employment opportunity, recent credit history, and ability to earn in addition to older credit history. Patters are also able to detect credit card “churners,” applicants who are rarely profitable for the card issuer. Delta Bravo AI also provides reason codes for credit decisions that explain the key factors in credit decisions, meeting compliance requirements for GLB.