Current world events have increased focus on cyber attacks and more sophisticated ransomware style attacks. These attacks are gaining in sophistication and complexity by combined cyber and malware-based attacks, resulting in billions of dollars in losses. Many software efforts are focused on signaling & detection and are not adequate for attacks that cross multiple investigation silos such as: cyber, ID theft, fraud, AML, and compliance groups. Whether you are in healthcare, retail, banking, or insurance, these new attacks reveal that internal firewalls between detection and investigation groups must be broken down or institutions will face massive losses against these sophisticated attacks.
This webinar will focus on how ML and Graph analytics work together with deep link visualizations to increase detection accuracy, decrease false positives, and improve transparency between silos to allow real-time alerts, enabling businesses to avoid sanctions and fines.
We will show how Expero CoNNected software can assist special investigations teams and executives. Our team of experts will show you how to leverage current technologies using Machine Learning, Graph, and Visualizations to unlock the fraud detection potential in your organization.
Unique Challenges in Cyber Security: discussion on why cyber and connected fraud are so difficult, given the myriad of technology; impacts on compliance teams and identifying real-time threats
Watch List Data + Technology Innovations: how to utilize watch list and breach data with new technologies like master data matching, graph analytics, machine learning, and how using these together reduces false positives & increases data accuracy
Empowering Your Cyber Investigation & Risk Teams: capabilities in visualization & human intelligence technologies that increases throughput to provide valuable analytics, and create quicker and more efficient outcomes for Fraud, Risk, Investigation, and Data Analytics teams
Rise of Explainable ML: implementing practical methods of cyber identification, complex dependency, and case management using 'human-in-the-loop' technology for better accuracy and process streamlining
Q&A
Current world events have increased focus on cyber attacks and more sophisticated ransomware style attacks. These attacks are gaining in sophistication and complexity by combined cyber and malware-based attacks, resulting in billions of dollars in losses. Many software efforts are focused on signaling & detection and are not adequate for attacks that cross multiple investigation silos such as: cyber, ID theft, fraud, AML, and compliance groups. Whether you are in healthcare, retail, banking, or insurance, these new attacks reveal that internal firewalls between detection and investigation groups must be broken down or institutions will face massive losses against these sophisticated attacks.
This webinar will focus on how ML and Graph analytics work together with deep link visualizations to increase detection accuracy, decrease false positives, and improve transparency between silos to allow real-time alerts, enabling businesses to avoid sanctions and fines.
We will show how Expero CoNNected software can assist special investigations teams and executives. Our team of experts will show you how to leverage current technologies using Machine Learning, Graph, and Visualizations to unlock the fraud detection potential in your organization.
Unique Challenges in Cyber Security: discussion on why cyber and connected fraud are so difficult, given the myriad of technology; impacts on compliance teams and identifying real-time threats
Watch List Data + Technology Innovations: how to utilize watch list and breach data with new technologies like master data matching, graph analytics, machine learning, and how using these together reduces false positives & increases data accuracy
Empowering Your Cyber Investigation & Risk Teams: capabilities in visualization & human intelligence technologies that increases throughput to provide valuable analytics, and create quicker and more efficient outcomes for Fraud, Risk, Investigation, and Data Analytics teams
Rise of Explainable ML: implementing practical methods of cyber identification, complex dependency, and case management using 'human-in-the-loop' technology for better accuracy and process streamlining
Q&A
