Here are fifteen fraud detection tools that can be integrated into software solutions, along with a brief explanation of the types of fraud they are designed to prevent and how they work:

1. ThreatMetrix: Prevents account takeover, identity theft, and payment fraud by analyzing device attributes, geolocation, and behavioral patterns to create a unique digital identity for each user.

2. Sift: Detects and prevents payment fraud, account takeover, and content abuse by analyzing user behavior and device information in real-time using machine learning algorithms.

3. Kount: Protects against payment fraud, account takeover, and identity theft by analyzing device fingerprinting, geolocation, and user behavior to assess risk levels.

4. Ravelin: Prevents payment fraud, account takeover, and promotion abuse by using machine learning to analyze user behavior, device information, and network data.

5. Iovation: Detects and prevents account takeover, identity theft, and payment fraud by creating a unique device fingerprint and analyzing user behavior across multiple industries.

6. Emailage: Prevents account takeover and identity theft by assessing the risk associated with an email address using data points like domain age, social media presence, and dark web exposure.

7. Feedzai: Detects payment fraud, money laundering, and account takeover by using machine learning algorithms to analyze user behavior and transaction data in real-time.

8. DataVisor: Prevents application fraud, account takeover, and spam/abuse by using unsupervised machine learning to detect anomalies and hidden connections between accounts.

9. Simility: Detects payment fraud, account takeover, and identity theft by analyzing user behavior, device fingerprints, and contextual data using adaptive machine learning.

10. Forter: Prevents payment fraud, account takeover, and policy abuse by using machine learning to analyze user behavior and device data in real-time.

11. Riskified: Detects and prevents e-commerce fraud, including chargebacks and account takeover, by analyzing user behavior, device information, and transaction data using machine learning.

12. Signifyd: Protects against payment fraud, account takeover, and policy abuse in e-commerce by providing a financial guarantee backed by machine learning risk assessment.

13. Guardian Analytics: Prevents banking fraud, including account takeover and unauthorized transactions, by analyzing user behavior and transaction patterns using machine learning.

14. BehavioSec: Detects and prevents account takeover and identity theft by analyzing user behavior and keystroke dynamics to create a unique biometric profile for each user.

15. Arkose Labs: Prevents bot attacks, account takeover, and fake account creation by using a combination of challenge-response mechanisms and risk-based authentication.