Firms often have incomplete capability to adequately monitor communications and computer activity of their employees for signs of illegal or suspicious activity. This results in undue exposure to malicious insiders that may be working alone or in cooperation with external actors.
Goals and Objectives
Improve the monitoring of employee communications and transactions for signs of suspicious and criminal activities. Increase the effectiveness of compliance programs to protect customer information and the company’s reputation.
Advanced text analytics, AI and machine learning
Use Case Summary
Financial institutions use advanced analytics to monitor an increasing volume of employees’ digital communications including emails, text messages, and digital content as well as voicemail transcripts and meeting notes. Advanced analytics analyze transaction and communication patterns that suggest illegal or suspicious activities, enabling analysts to focus on higher-risk situations.