Libelle DataMasking vs Lopam.AI Database Activity Monitoring

Libelle DataMasking has no write-up on Specifiction yet; its figures are above.

Lopam.AI Database Activity Monitoring provides query-level visibility, anomaly detection, access governance, and compliance reporting for databases. It tracks queries, transactions, and operations as they occur, then uses machine-learned baselines to identify unusual activity. Administrator and service accounts are monitored, with least-privilege enforcement described as part of the product. AI agents and automated workloads accessing databases are tracked separately. Investigators can replay sessions query by query, while alerts are ranked by assessed risk. Scheduled reports cover PCI-DSS, HIPAA, GDPR, and SOX. Listed database support includes PostgreSQL, MySQL, Oracle Database, SQL Server, MongoDB, and MariaDB; custom integrations can be discussed with the company. Lopam names Splunk, ELK, and QRadar among its SIEM integrations and says it connects with more than 10 SIEM platforms. The homepage claims real-time monitoring with millisecond precision and capacity above 10 billion events per day, plus automated reporting across more than 15 frameworks. The product is listed for on-premises deployment, with pricing available on request.