Partner

VALID Systems

VALID Systems is an AI-powered account risk and transaction decisioning company

Key Benefits

Robust data consortium with over $6T check transacation activity and 450M account all while recency is maintained at 60%. Risk analytics play a crucial role in enhancing risk management within banks by leveraging advanced data analytics techniques. Banks utilize these analytics to assess various types of risks, including credit, market, and operational risks.
Advanced fraud detection and mitigation solutions safeguard businesses against financial crimes, ensuring secure transactions and protecting customer trust. Behavioral analytics and anomaly detection play a crucial role in enhancing cybersecurity for banks. By continuously monitoring user behavior and identifying deviations from established patterns, banks can proactively address potential security threats.

“VALID Systems has been an outstanding partner. From inception stage to post-production, the team has been incredibly attentive, accommodating, and dependable. The passion for their solutions shines through, making it a pleasure to work with them. With VALID’s help we have been able to expand our services, delivering improved experiences to our clients.”

MEGAN DUNN – PRODUCT MANAGER, KEYBANK

Best-in-class fraud detection and loss reduction

Valid has 7 of the top 25 FIs using its best-in-class fraud detection and loss reduction tools. Valid can partner with you in every step of the way to transform risk into better customer experience.

VALID Systems is an AI powered account risk and transaction decisioning company. We remove the friction caused by fraud to deliver liquidity solutions for the largest FI’s in the nation.

From check risk and deposit acceleration, to increasing loan funding rates and small dollar lending, we are your risk partner for enabling customer liquidity needs.

Resources

About VALID Systems

Services:

Use cases:

Fraud Monitoring & Detection

Fraud monitoring and detection in banks are essential to mitigate fraud risk. By employing continuous monitoring systems, banks can analyze transactions and user behaviors in real-time, identifying anomalies that signal potential fraud.

Behavioral Analytics / Anomaly Detection

Behavioral analytics and anomaly detection play a crucial role in enhancing cybersecurity for banks. By continuously monitoring user behavior and identifying deviations from established patterns, banks can proactively address potential security threats.

Risk Analytics

Risk analytics plays a crucial role in enhancing risk management within banks by leveraging advanced data analytics techniques. Banks utilize these analytics to assess various types of risks, including credit, market, and operational risks.

Loan Decisioning

Advanced analytics and decision-making algorithms for loan approvals. This improves risk-based pricing accuracy, reduces the likelihood of approving high-risk loans, and enhances overall portfolio quality.
Regions Supported:

North America