AI Tech Secure Database Security vs CryptoBind Database Activity Monitoring (DAM)
AI Tech Secure Database Security
aitechsecure.comCryptoBind Database Activity Monitoring (DAM)
jisasoftech.comSide by side
| Figure | AI Tech Secure Database Security | CryptoBind Database Activity Monitoring (DAM) |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 0 | 0 |
| Spec score · Database Activity Monitoring Software | 7.4 (#6) | 7.8 (#3) |
| Alerts | The page lists export and bulk-access alerts, severity-based escalation, and SIEM integration readiness. | It provides sub-second event streaming and rule-based and behavior-based alerts with severity levels from Low to Critical. |
| Headquarters | Sharjah, United Arab Emirates | Pune, Maharashtra, India |
| Purpose | Database Security monitors database activity, detects SAP-aware bypasses, and masks sensitive data. | The DAM platform monitors database activity to detect threats, support compliance, and investigate incidents. |
| Supported databases | The page names SAP HANA, Oracle, SQL Server, PostgreSQL and Snowflake, with additional platforms via the Connector Factory. | The page lists PostgreSQL, Oracle, MySQL, and Microsoft SQL Server; MongoDB is an optional add-on and DB2 is on the roadmap. |
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.
CryptoBind Database Activity Monitoring (DAM)
CryptoBind Database Activity Monitoring (DAM) provides real-time database activity visibility, threat detection, and audit support for regulated industries, government systems, BFSI, and Aadhaar ecosystems. It captures SELECT, INSERT, UPDATE, and DELETE operations, reconstructs and normalizes queries, and correlates application and database users. It can detect access to sensitive fields such as Aadhaar, PAN, PII, and PCI data, while monitoring DBA and superuser activity, schema changes, privilege grants, account creation or deletion, and privilege escalation. Alerts can follow rules or behavior, with anomaly detection based on activity volume, frequency, and time of day, and severity levels from Low to Critical. The vendor describes append-only, cryptographically signed audit logs, hashing, WORM storage support, and tampering alerts. Listed databases are PostgreSQL, Oracle, MySQL, and Microsoft SQL Server; MongoDB is an optional add-on and DB2 is on the roadmap. Deployment choices include on-premises, VM-based private cloud, government cloud, and air-gapped or offline SOC environments. Web dashboards, lightweight agents, a central DAM server, and REST and gRPC APIs are described. Pricing is on request.