Oracle's new AI-driven database tools aim to optimize applications and bolster data security, transforming the development landscape.

Oracle's AI tools provide developers with enhanced performance and strengthened data protection.
Signal analysis
According to industry sources, Oracle has launched a suite of AI-driven database tools, specifically targeting application performance and data security. The new tools include features like Autonomous Transaction Processing (ATP) with AI-based query optimization that enhances execution speed by 30%. Additionally, the Oracle Database version 21c now integrates an AI Data Masking feature, which automatically identifies sensitive data and applies masking policies, significantly reducing the risk of data exposure.
The launch impacts development teams of varying sizes, particularly those managing extensive application ecosystems with over 1,000 API calls per day. These teams will benefit from reduced query response times and improved data security, which can translate to lower operational costs. Previously, developers faced lengthy manual processes to secure sensitive data; now, they can automate this with Oracle's new tools. The downside is that organizations may need to invest time in reconfiguring their existing database setups to leverage these new capabilities fully.
If you're using Oracle Database for transaction-heavy applications, here's what to do: Update your Oracle Database to version 21c to access the new AI-driven features. Once updated, configure the AI Data Masking by navigating to the security settings in your database console. You can set up automated masking policies for sensitive fields within 30 days to ensure compliance with data protection regulations. Additionally, consider enabling the AI-based query optimizer in the ATP configuration settings to enhance your app’s performance before your next release.
Keep an eye on the performance of the AI Data Masking feature, as its effectiveness can vary based on specific data types and patterns. Oracle is expected to roll out additional updates to enhance the AI capabilities further, but users should be prepared for potential learning curves as they adapt to new tools. Ensure that your team remains trained on best practices for leveraging AI in database management. The momentum in this space continues to accelerate.
Best use cases
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