Authored by Rik Bleeker, Program Manager, Oracle Academy Benelux and DACH
The newest Oracle Academy Tech Chat delves into the crucial intersection of artificial intelligence (AI) and data security, explaining why the Oracle Database is foundational to both.
In this episode, Oracle expert Thomas Minne draws on his 15 years as a database administrator (DBA) and current role in Oracle’s EMEA Chief Technology Officer office to share practical strategies for implementing AI responsibly without compromising sensitive information.
Listeners will learn how features like Real Application Security and Label Security safeguard data, and why AI vectors require the same protection as raw data, as well as hear real-world stories based in industries including finance and healthcare.
Listeners also can learn how AI can both enhance and threaten security. Security is important in the context of AI and is connected to the Oracle Database. However, AI isn’t magic — it’s a set of tools that processes data. And whenever we talk about data, security becomes essential. AI systems use techniques like Large Language Models (LLMs), vectorization, and Retrieval Augmented Generation (RAG). All of these interact with — sometimes highly sensitive — data.
For example, in healthcare, Oracle Databases store patient records. This type of database cannot be connected directly to a public AI model in case of accidentally exposing private medical information. AI absolutely can help doctors and researchers, but only if access is controlled — the right person, the right time, and the right context. Without those safeguards, the risks outweigh the benefits.
Security and AI
Companies are no longer asking, “Should we use AI?” They’re asking, “How can we use AI securely?” That’s where Oracle’s security features come in — helping organizations build secure, compliant pipelines for AI solutions while still benefiting from AI’s power.
Security can seem like extra work, but the reality is that the potential damage from a breach — to both individuals and companies — is huge. And companies also must be compliant with a variety of regulations. Flipping the perspective: security actually can help organizations move faster. If only authorized roles in an organization’s application can see sensitive data, the organization unlocks the ability to use that data in AI workflows with confidence. So, security becomes an enabler.
All industries need security, but healthcare, finance, and government are particularly sensitive due to privacy regulations. Even retail and logistics benefit from strong AI security practices. The risk level varies, but the principle remains: innovating safely means protecting data.
How students can learn
Thomas also offers career advice to students keen on mastering IT fundamentals and safely experimenting with Oracle LiveLabs.
To practice their skills in both AI and managing data, students need to have a hands-on learning environment. Core IT skills are still essential, as AI is built on computers, networks, storage, data models, and data types — all the fundamentals. LiveLabs offers 900 free workshops in a sandbox on Oracle Cloud — a safe way to experiment. Through these labs, learners can safely explore AI models, vectorization, and RAG workflows without introducing security risks.
Whether you’re a student, educator, or just curious about AI security, this episode is packed with insights to help innovate confidently and securely.
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