CPE | Optimizing Risk Classification in Nth Party Relationships

Understanding the intricacies of nth party relationships is essential for effective risk management. Join us for an insightful webinar where industry experts will explore strategies to optimize risk classification in these complex networks.

Key Takeaways:

• Leveraging advanced machine learning methodologies for enhanced risk scoring and classification.

• Integrating diverse data sources (fraud detection, ICT, transactional systems) for a comprehensive risk view.

• Implementing ongoing monitoring, automation in forensic analytics, and blockchain technology for security and data integrity.

• Utilizing social media and text analytics to gain insights into behaviors, interactions, and emerging events.

Speaker:

• John Bree, Supply Wisdom

• Conner Reznicek, HackNotice

• Sean McGovern, LogicGate

• Steve Tobias, RiskRecon

  
  

Don't miss this opportunity to deepen your understanding and improve your risk management strategies. Register now!