AI Tech Secure Database Security vs DATASKOPE

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.

DATASKOPE monitors, analyzes, alerts on, and reports database activity in real time. It records who accessed sensitive data, where access came from, which transactions occurred, and when. Audit visibility can be limited by user, database, table, and command. Recorded operations include SELECT, UPDATE, DELETE, and EXEC, showing what changed and by whom. DATASKOPE tracks successful and unsuccessful logins plus administrative actions such as creating or deleting users. Predefined alarm rules classify database events and notify responsible people. Its NoSQL search engine distributes searches across nodes and is described as scaling horizontally and vertically. Audit data can be automatically backed up and archived, with geographic replication and local redundancy. The product supports multiple database engines and is presented for activity monitoring, access governance, audit reporting, and threat detection. Pricing is not published; Plainex offers contact and demo requests.