Lopam.AI Database Activity Monitoring
Lopam.AI Database Activity Monitoring provides query-level visibility, anomaly detection, and compliance reporting across databases.
What Lopam.AI Database Activity Monitoring is
Lopam.AI Database Activity Monitoring provides query-level visibility, anomaly detection, and compliance reporting across databases. It tracks queries, transactions, and operations as they run, then uses machine-learned baselines to identify unusual activity. Administrator and service accounts are monitored, with least-privilege enforcement described by the product. AI agents and automated workloads accessing databases are tracked as a separate category. Investigators can replay sessions query by query, while alerts are ranked by assessed risk. Scheduled reports cover PCI-DSS, HIPAA, GDPR, and SOX. Listed databases include PostgreSQL, MySQL, Oracle Database, SQL Server, MongoDB, and MariaDB; custom integrations can be discussed with the company. SIEM integrations named by the maker include Splunk, ELK, and QRadar, with more than 10 platforms cited. The homepage claims millisecond-precision monitoring and capacity above 10 billion events per day. Deployment is on-premises, and pricing is available on request. Industry solutions target banking and finance, healthcare, government, telecom, and SaaS organizations.
Good
- Tracks queries, transactions, and operations
- Machine-learned baselines flag unusual activity
- Query-by-query session playback supports forensics
- Scheduled PCI-DSS, HIPAA, GDPR, and SOX reports
- Integrates with more than 10 SIEM platforms
Watch out
- Pricing is available only on request
- Deployment is on-premises
- Custom database integrations require contacting the team
- ISO 27001 compliance is described, not certification
Who it suits
This product suits organizations needing database monitoring, access governance, investigation, and compliance reporting. The maker specifically lists banking, healthcare, government, telecom, and SaaS use cases.
Verdict
Lopam.AI combines database activity monitoring with anomaly detection, forensics, access controls, and compliance reporting. Its on-premises deployment and sales-led pricing suit organizations planning a managed database-security rollout.
Plans and prices
From Lopam.AI Database Activity Monitoring's own pricing page, checked 5 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Database Activity Monitoring | Priced on request | Pricing not stated; contact sales for custom database integrations and platform needs |
The facts
Each one read from Lopam.AI Database Activity Monitoring's own pages, with the date it was checked.
What it does
- AI workloads
- AI agents and automated workloads accessing databases are tracked as a separate category.checked 5 Oct 2026
- Alerting
- Alerts are ranked by assessed risk to help prioritize activity.checked 5 Oct 2026
- Anomaly detection
- Machine-learned baselines are used to detect unusual activity.checked 5 Oct 2026
- Compliance
- It generates scheduled reports for PCI-DSS, HIPAA, GDPR, and SOX.checked 5 Oct 2026
- Compliance reports
- Scheduled reports are listed for PCI-DSS, HIPAA, GDPR, and SOX.checked 5 Oct 2026
- Contact and location
- The homepage lists an office at A/26-27, G.F., Logix Technova, Sector-132, Noida-201304, U.P., India.checked 5 Oct 2026
- Databases
- The page lists PostgreSQL, MySQL, Oracle Database, SQL Server, MongoDB, and MariaDB, and says custom database integrations can be discussed with its team.checked 5 Oct 2026
- Database support
- The page names PostgreSQL, MySQL, Oracle Database, SQL Server, MongoDB, and MariaDB, and says custom database integrations are available by contacting the team.checked 5 Oct 2026
- Forensics
- Investigators can replay sessions query by query.checked 5 Oct 2026
- Forensics and alerts
- It supports query-by-query session playback and ranks context-aware alerts by risk.checked 5 Oct 2026
- Integrations
- The maker’s homepage says its SIEM integrations include Splunk, ELK, QRadar, and more than 10 SIEM platforms.checked 5 Oct 2026
- Intended users
- The company describes industry solutions for banking and finance, healthcare, government, telecom, and SaaS organizations.checked 5 Oct 2026
- Performance claim
- The homepage claims real-time monitoring with millisecond precision and capacity of 10B+ events per day.checked 5 Oct 2026
- Privileged access
- The product monitors admin and service accounts and enforces least privilege.checked 5 Oct 2026
- Purpose
- Lopam.AI Database Activity Monitoring provides query-level visibility, anomaly detection, and compliance reporting across databases.checked 5 Oct 2026
- Query monitoring
- It tracks queries, transactions, and operations as they run.checked 5 Oct 2026
- Security and compliance
- The homepage describes compliance automation for SOX, GDPR, HIPAA, PCI-DSS, and ISO 27001.checked 5 Oct 2026
- Security and compliance claims
- The homepage describes zero-trust privileged access management, a complete audit trail, and automated reporting across 15+ frameworks.checked 5 Oct 2026
- SIEM integrations
- Lopam’s homepage names Splunk, ELK, and QRadar and says it integrates with 10+ SIEM platforms.checked 5 Oct 2026
- Support
- The company’s solutions page says industry-trained support specialists are available around the clock for deployment, operations, and compliance.checked 5 Oct 2026
The company
- Headquarters
- The homepage lists an office at A/26-27, G.F., Logix Technova, Sector-132, Noida-201304, Uttar Pradesh, India.checked 5 Oct 2026
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