Advisory program

Oracle AI Database Security

AI inside the database is power and attack surface in the same box.

Oracle Data SafeCIS Oracle BenchmarkNIST AI RMF

Plan the program

Fit check

This is a fit if

01A customer, regulator, insurer, or board wants documented control.
02New technology or obligations are moving faster than internal policy.
03You need practical governance that people can follow and auditors can verify.

The work, made tangible

What you receive

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.

OUT-01

Oracle 23ai implementation

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

OUT-02

Database hardening

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

OUT-03

AI access governance

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

OUT-04

Vector store security

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

OUT-05

Resilience built in

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

OUT-06

Database forensics

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

Engagement walkthrough

How the work moves

01
Discover
Inventory the obligations, systems, evidence, and decision owners.
02
Design
Translate frameworks into controls and policies sized for your business.
03
Implement
Put the agreed controls into day-to-day operation.
04
Prove
Organize evidence and close gaps before the external review.

Next move

Turn the concern into a clear scope.

Bring the requirement, questionnaire, or technology decision driving the work. We will map the shortest defensible path.

Plan the program

Before we start

Common questions

Where does Oracle AI Database Security start?

With a short scoping call. We identify the business question, the systems involved, and the evidence already available before recommending work.

What will we receive?

A clear walkthrough of the work completed, the evidence found, and the next actions. The scope includes oracle 23ai implementation, database hardening, ai access governance.

Can this be sized for a small business?

Yes. Scope follows your environment, risk, and deadline. The first conversation is designed to find the smallest useful starting point.