AI Tech Secure Database Security vs DB CyberTech Security
AI Tech Secure Database Security
aitechsecure.comDB CyberTech Security
dbcybertech.comSide by side
| Figure | AI Tech Secure Database Security | DB CyberTech Security |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Plans published | 0 | 0 |
| Spec score · Database Activity Monitoring Software | 7.4 (#6) | 7.2 (#11) |
| Headquarters | Sharjah, United Arab Emirates | DB CyberTech says it is headquartered in San Diego, California, and has offices in Europe. |
| Purpose | Database Security monitors database activity, detects SAP-aware bypasses, and masks sensitive data. | DB CyberTech Security identifies and alerts on potential threats to business-critical structured data to help prevent data loss. |
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.
DB CyberTech Security
DB CyberTech Security monitors structured data moving between databases and clients to identify potential threats and alert on possible data loss. It is designed to add continuous structured-data monitoring to policy-based protections for unstructured data, including monitoring for potential insider threats. The company describes a detection approach using Layer 7 protocol extraction and decoding, discovery, machine learning and behavioral analysis to identify anomalies that may signal malicious intent. Its stated scope includes potential data theft after a perimeter breach, APTs and zero-day attacks. The product is available on the web and has a hybrid deployment model, with real-time alerts and compliance reporting listed. DB CyberTech says Security was certified as McAfee Compatible, and its Security, Visibility and Privacy solutions work with McAfee DLP; Gigamon is listed as a technology partner. The company identifies large financial institutions, healthcare providers, manufacturers and government entities among its customers. Pricing is on request, and the product page directs prospective customers to contact the company or schedule a demo.