AI Tech Secure Database Security vs DB Audit

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 Audit is a database auditing and security platform for tracking activity, detecting threats, and supporting compliance. It captures and analyzes database queries in real time; its maker says the streaming pipeline handles millions of events per second with detection latency under one second. AI models establish behavioral baselines for users and applications and score deviations such as SQL injection attempts and privilege escalation. Scans classify PII, PHI, and financial data across more than 20 categories. Compliance tools include templates for GDPR, HIPAA, SOX, PCI-DSS, SOC 2, and ISO 27001, plus custom policies and automated scoring. Continuous scans identify CVEs, misconfigurations, and network issues, ranked by exploitability and data classification. Deployment options are cloud, on-premise, and hybrid, including air-gapped on-premise setups. Listed connections include database types, data lakes, SIEM forwarding, and alerts through Slack, Teams, email, PagerDuty, and webhooks. A 14-day proof of concept is available for all deployment models by contacting the company. Pricing depends on database count, deployment model, and support tier; buyers are directed to request a quote.