Enterprise AI initiatives often begin with excitement, but quickly encounter a familiar challenge: data security.
For Oracle EBS organizations, the question isn’t whether AI can deliver value. It’s whether that value can be achieved without increasing data exposure, duplicating sensitive information, or creating new governance risks.
Many organizations face challenges such as:
- Concerns about exposing sensitive ERP data to external AI services
- Growing security and compliance requirements
- Complex AI architectures with separate vector databases and security models
- Difficulty balancing innovation with governance
- Uncertainty around Oracle Database 26ai and in-database AI capabilities
The good news is that modern AI doesn’t have to come at the expense of enterprise security.
Oracle Database 26ai introduces an architectural approach that allows AI capabilities to operate within the database boundary, helping organizations reduce complexity while maintaining existing security and governance controls.
What You’ll Learn
Download this ebook to discover:
- Why traditional AI architectures create new governance and security challenges
- How Oracle Database 26ai enables secure, in-database AI for Oracle EBS
- The differences between external AI architectures and in-database AI
- Key security capabilities that support enterprise AI adoption
- Practical Oracle EBS use cases for secure AI enablement
- A structured roadmap for evaluating Oracle Database 26ai readiness and AI governance