Best Biometric Authentication Software for PostgreSQL
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Compare the Top Biometric Authentication Software that integrates with PostgreSQL as of October 2025
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This a list of Biometric Authentication software that integrates with PostgreSQL. Use the filters on the left to add additional filters for products that have integrations with PostgreSQL. View the products that work with PostgreSQL in the table below.
What is Biometric Authentication Software for PostgreSQL?
Biometric authentication software uses unique physical or behavioral characteristics—such as fingerprints, facial recognition, iris scans, or voice patterns—to verify an individual’s identity securely and accurately. It provides enhanced security for access control, identity verification, and fraud prevention across various applications including mobile devices, workplaces, banking, and government services. The software often integrates with multi-factor authentication (MFA) systems and identity management platforms to strengthen security protocols. By reducing reliance on passwords and tokens, biometric authentication improves user convenience while mitigating risks of unauthorized access. It is widely adopted in sectors requiring high assurance of identity and data protection. Compare and read user reviews of the best Biometric Authentication software for PostgreSQL currently available using the table below. This list is updated regularly.
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VU Security
VU Security
We are a cybersecurity company specialized in fraud prevention and identity protection. Our mission is to provide secure digital experiences without friction, both for citizens and businesses, during the digital transformation process. We use different technologies applied for people recognition, based on their physiological or behavioral characteristics. Once the data has been captured, the system extracts a unique pattern for each individual, which will be used to make comparisons in the future. Transactional analysis of user behavior and channels for fraud detection and prevention. Secure, fast-response exchange of sensitive data through references to a vault of encrypted data. We provide a multi-channel fraud prevention solution that uses machine learning to create intelligent profiles and detect potentially fraudulent operations based on user behavior.
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