AI Tech Secure Database Security vs Lopam.AI Database Activity Monitoring
AI Tech Secure Database Security
aitechsecure.comLopam.AI Database Activity Monitoring
lopam.aiSide by side
| Figure | AI Tech Secure Database Security | Lopam.AI Database Activity Monitoring |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Plans published | 0 | 1 |
| Spec score · Database Security Software | 7.4 (#11) | 7.4 (#13) |
| Alerting | Capabilities include export and bulk-access alerts, severity-based escalation, and SIEM integration readiness. | Alerts are ranked by assessed risk to help prioritize activity. |
| Headquarters | Sharjah, United Arab Emirates | The homepage lists an office at A/26-27, G.F., Logix Technova, Sector-132, Noida-201304, Uttar Pradesh, India. |
| Integrations | The page lists SAP HANA, Oracle, SQL Server, PostgreSQL, Snowflake, and SAP ECC/S/4HANA integrations. | The maker’s homepage says its SIEM integrations include Splunk, ELK, QRadar, and more than 10 SIEM platforms. |
| Purpose | Database Security monitors database activity, detects SAP-aware bypasses, and masks sensitive data. | Lopam.AI Database Activity Monitoring provides query-level visibility, anomaly detection, and compliance reporting across databases. |
Plans
Lopam.AI Database Activity Monitoring
- Database Activity MonitoringPriced on request
In their own words
AI Tech Secure Database Security
AI Tech Secure Database Security monitors database activity, identifies SAP-aware bypass patterns, and masks sensitive information. Live monitoring covers direct SQL changes, exports, privileged access, and bypass activity. The product lists 21 pre-built monitoring rules mapped to SOX, GDPR, HIPAA, PCI DSS, and 21 CFR Part 11. In SAP environments, database changes can be correlated with SAP T-codes and CDHDR/CDPOS change documents. Masking supports query-time dynamic protection and static masked copies for development, QA, and UAT. Listed controls include role-based policies, PII and PHI field catalogs, and a masking audit trail. Alerts include exports, bulk access, severity-based escalation, and SIEM integration readiness. Named databases are SAP HANA, Oracle, SQL Server, PostgreSQL, and Snowflake, with additional platforms through the Connector Factory. Deployment is hybrid, and audit reporting and threat detection are listed capabilities. Pricing is on request through a direct B2B sales process.
Lopam.AI Database Activity Monitoring
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.