Mamori.io's Database Activity Monitoring (DAM) solution provides granular visibility into database interactions by continuously tracking all login attempts, queries, transactions, and administrative operations across databases in real time. Key capabilities include anomaly detection that alerts administrators upon detecting unusual patterns such as mass deletions, off-hours access, or behavior deviations, while identifying "slow steal" tactics where insiders gradually exfiltrate data. The solution enables granular rule-based controls over connections, SQL command execution, and table/row/column-level accesses, with temporary privilege elevation requests requiring approvals. It records full session transcripts with contextual metadata ensuring accountability even with shared accounts, and generates customizable reports detailing statistics around policy violations and approved requests to facilitate compliance with frameworks like GDPR/PDPA. The system integrates with existing directory services and multi-factor authentication providers while supporting API/SQL-based log exports for SIEM correlation, combining preventive measures, detection capabilities, and forensic-ready logs to mitigate risks from unauthorized access across relational and non-relational database systems.