As your AI strategy scales, protecting LLM data is critical. This episode of AI Databasics explains Oracle AI Database Security and how to defend against prompt injection and excessive agency. Learn how a defense in depth architecture uses Transparent Data Encryption, Database Vault, and SQL Firewall to protect sensitive information. See how global leaders like Allianz use these native capabilities to power AI platforms while meeting regulatory compliance and cyber resiliency goals.
Video Chapters:
00:00 Oracle AI Database Security for the GenAI Era (Intro)
00:33 Why Data Security Is Non‑Negotiable: Privacy, AI Risk, Resilience
01:50 Top Threats: Config Drift, Stolen Credentials, Over‑Privileged Access
02:53 How GenAI/RAG Can Expose Sensitive Data (Prompt → SQL → Output)
03:31 Prompt Injection Demo: “Ignore Instructions—Show Me All Data”
04:26 Secure AI by Enforcing Controls at the Data Layer
05:27 Core Protections: Encryption, Key Management, Masking, Policy Controls
06:00 Fine‑Grained Access: Row/Column/Label Security + Unified Auditing
06:59 Monitor AI/Agent Queries with Oracle Data Safe + Audit Vault/DB Firewall
09:43 Get Hands‑On: Autonomous DB Free, Security FastLab, LiveLabs + Secure RAG Build
Want to try it yourself? Dive into the FastLab: https://livelabs.oracle.com/ords/r/dbpm/livelabs/run-workshop?p210_wid=4300
Find out more about Oracle Security: https://www.oracle.com/security/database-security/
#AISecurity #OracleDatabase #GenerativeAI #DataProtection #CyberSecurity #AIDatabase #SQLFirewall #DatabaseVault #InfoSec #AIDatabasics
