Microsoft NCE Dynamics 365 Fraud Protection for Nonprofit

Help safeguard accounts with a fraud protection network

• Help protect accounts with device fingerprinting - Detect fraud patterns and identify returning devices with high fidelity using AI models that collect device and location attributes.
• Adaptable account rules engine fits your needs - Minimize customer delays and friction by configuring specialized rules and policies.
• Help defend accounts with bot protection - Help protect against bot networks attempting to create synthetic accounts or gain access to accounts using stolen credentials.
• Configure the engine to match your business needs - Enable customers to send custom payloads and configure real-time decision policies with an engine that helps protect specialized account activity scenarios, with monitoring dashboards.

Purchase protection

• Helps focus on profitability - Take advantage of Adaptive AI that continuously learns and adapts to patterns of payment fraud, helping managers to balance profit and fraud loss.
• Collaborate to protect transactions - Get broad awareness of fraud activity worldwide while keeping customer privacy intact by taking advantage of connected knowledge.
• Triangulate transaction fraud with multiple data points - Use AI models to detect patterns using device and location attributes, while advanced deep learning models identify returning devices with high fidelity.
• Adaptable to your business - Minimize customer delays and friction by using a versatile decision engine configured to your specialized rules and policies.
• Increase transaction acceptance - Enables merchants to share transactional trust knowledge with issuing banks to help boost their acceptance rates.
• Help improve customer escalations - Improve customer support by providing detailed risk insights about each transaction.

Loss prevention

• Detect transactional anomalies with intelligent machine learning - Empower store managers to act quickly and mitigate losses by identifying anomalies and potential fraud on returns and discounts.
• Help protect in-store leakage - Detect anomalous patterns in returns and discounts activity with adaptive AI to prevent loss.
• Triangulate discount and return fraud with multiple data points - Help detect anomalies, especially in omnichannel scenarios such as “buy online, return in store”, with knowledge of devices that initiate returns and their location attributes.
• Provide clear and actionable reports - Help store managers take action with up-to-date BI reports and insights on anomalies related to merchandise discounts and returns.
• Automated discovery - Help increase operational efficiency by reducing the manual effort required to identify at-risk business entities and functions.