Oracle AI Database Security

Field notes

This is not a service we bolted on when AI got popular. Oracle database administration is where we come from. We work hands-on with RMAN backup and recovery, Data Guard replication, GoldenGate integration, Autonomous Database, and OCI, and we stay current through the Oracle developer community. That depth matters for 23ai: securing AI Vector Search and Select AI means understanding both the attack (prompt-injected SQL, over-privileged AI service accounts) and the database internals (unified auditing, LogMiner-based forensics, SQL Firewall policy design) that most security shops have never touched.

What we do

• Oracle 23ai implementation

  Architecture, migration, and deployment of AI Vector Search, Select AI, and autonomous features, sized for your workload.

• Database hardening

  SQL Firewall, Database Vault, Transparent Data Encryption, and unified auditing configured before the first AI query runs.

• AI access governance

  Least-privilege grants for AI agents and LLM integrations: no copilot gets SELECT * on your customer table.

• Vector store security

  Embeddings are data too: access controls and encryption so semantic search does not become a side channel for leaking source records.

• Resilience built in

  RMAN backup strategy and Data Guard replication designed alongside the AI features. Recoverability is a security control.

• Database forensics

  LogMiner and audit-trail investigation when you need to know exactly what touched the data, and when.