Oracle AI Database
summary
Claims that placing agentic AI inside the database cuts architectural complexity and yields faster, more secure, scalable results by enforcing transactional consistency and data-level security. Oracle runs these agents in the same runtime as production systems (disaster recovery, failover, auditing) and reports about 100 AI projects using it. Examples include agents generating 10,000–50,000 lines of code against schemas while the database enforces atomicity, access controls, and lineage so outputs are provably trustworthy.
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