Securing AI-Enabled Applications with Oracle Database 26ai

Artificial Intelligence (AI) is transforming enterprise applications by enabling intelligent search, automation, and data-driven decision making. As organizations integrate AI into their business processes, protecting the underlying data becomes more important than ever.

Oracle Database 26ai builds on Oracle's comprehensive security architecture, enabling organizations to secure both traditional database workloads and AI-enabled applications using proven Oracle Database security features. Rather than requiring a separate security framework, organizations can leverage existing capabilities such as Transparent Data Encryption (TDE), SQL Firewall, Unified Auditing, Database Vault, and least privilege administration to protect sensitive information.

Why AI Security Matters

AI applications often process valuable business information, including customer records, financial data, product documentation, and operational data. Without appropriate security controls, organizations may face risks such as:

• Unauthorized access to sensitive data
• SQL injection attacks
• Stolen or compromised credentials
• Insider threats
• Data leakage
• Regulatory compliance challenges

Protecting AI-enabled applications requires multiple layers of security rather than relying on a single security mechanism.

Oracle Database 26ai Security Approach

Oracle Database 26ai provides a layered security model that helps protect enterprise data throughout its lifecycle.

Transparent Data Encryption (TDE)

Transparent Data Encryption (TDE) protects sensitive information stored in Oracle Database by encrypting data at rest without requiring application changes.

Key benefits include:

• Encryption of database data stored in encrypted tablespaces
• Protection of backup data
• Strong encryption algorithms such as AES-256
• Integration with Oracle Key Vault for centralized key management

By enabling TDE, organizations can significantly reduce the risk of unauthorized access to stored data.

SQL Firewall

Applications often generate predictable SQL statements. Oracle SQL Firewall helps improve database security by allowing only approved SQL statements to execute.

Typical benefits include:

• Helping protect applications from SQL injection attacks
• Blocking unauthorized SQL statements
• Reducing risks associated with compromised credentials
• Providing centralized SQL validation

SQL Firewall complements existing application security controls by validating SQL at the database layer.

Unified Auditing

Monitoring database activity is an important part of every security strategy.

Unified Auditing simplifies audit management by storing audit records in a single repository and supports auditing of both successful and unsuccessful activities.

Common auditing scenarios include:

• User logins
• Administrative operations
• Privilege usage
• Object access
• Security policy changes

A well-designed auditing strategy improves compliance reporting while providing valuable information during security investigations.

Database Vault

Database Vault helps organizations implement separation of duties and protect sensitive application data from unauthorized access, including privileged users.

Key capabilities include:

• Realms
• Command Rules
• Rule Sets
• Secure Application Roles

These controls provide additional protection beyond traditional privilege management.

Least Privilege Administration

One of the most effective security practices is granting users only the privileges required to perform their job functions.

Organizations should:

• Review user privileges regularly
• Avoid unnecessary system privileges
• Remove unused accounts
• Follow role-based access control whenever possible

Applying least privilege reduces the overall attack surface and minimizes the impact of compromised accounts.

Security Best Practices

When deploying AI-enabled applications on Oracle Database 26ai, consider the following recommendations:

• Enable Transparent Data Encryption
• Configure SQL Firewall for critical applications
• Enable Unified Auditing
• Protect sensitive data using Database Vault
• Follow least privilege principles
• Regularly review audit reports and security configurations

AI adoption continues to accelerate across enterprises, making database security more important than ever. Oracle Database 26ai enables organizations to secure AI-enabled applications by leveraging Oracle's mature security capabilities, including encryption, auditing, SQL Firewall, Database Vault, and least privilege administration.

A layered security approach not only helps protect sensitive information but also improves compliance, reduces operational risk, and strengthens overall database security.

Resolving Tableau Messaging Service (ActiveMQ) Startup Failure After Upgrading to Tableau Server 2025.3.6

After successfully upgrading our Tableau Server environment to version 2025.3.6, we encountered an issue where the Messaging Service (ActiveMQ) failed to start on two nodes in our multi-node deployment. This caused the affected nodes to remain in a degraded state, preventing the cluster from becoming fully operational

This article describes the symptoms we observed, the troubleshooting steps we performed, and the solution that successfully restored the Messaging Service.
Problem

 The log output below has been sanitized to remove environment-specific information, and repetitive log entries have been omitted for brevity.

C:\Tableau Server\data\tabsvc\services\activemqserver_<version>\status.cmd

Java class name: com.tableausoftware.activemq.ActiveMQApp
Method name: main
Arguments: status
"currentDeploymentState": "NONE",
"details": {
"message": "Connect to localhost:8099 [localhost/127.0.0.1,
localhost/0:0:0:0:0:0:0:1] failed:
Connection refused: connect"
},
"name": "activemqserver_0",
"processStatus": "DOWN",
"version": "<2025.3.x>"
Exit code: 4

Resolution

1. Go to:
C:\Tableau Server\data\tabsvc\services\activemqserver_<version>

2. Run:
disable.cmd

Expected (sanitized):
Connecting to JMX URL:
service:jmx:rmi:///jndi/rmi://localhost:1099/jmxrmi
INFO: Broker now available at:
service:jmx:rmi:///jndi/rmi://localhost:1099/jmxrmi
Exit code: 0

3. Rename:
C:\Tableau Server\data\tabsvc\services\activemqserver_0\kahadb

To:
kahadb.old

4. Run:
enable.cmd

Expected (sanitized):
Java class name: com.tableausoftware.activemq.ActiveMQApp
Method name: main
Arguments: enable
Exit code: 0

5. Restart Tableau Server:
tsm restart

All Tableau Servers came online without any warnings or issues

The embedded ActiveMQ broker stores its persistent message data in the KahaDB directory. If the message store becomes corrupted or incompatible during an upgrade, ActiveMQ may fail to start. Renaming the KahaDB folder causes Tableau to create a fresh message store during startup.

Best Practices
- Take a Tableau backup before making changes.
- Verify all nodes become Active after restart.
- Review ActiveMQ logs if the problem persists.
- Contact Tableau Support if the issue continues.

In this case, disabling the Messaging Service, renaming the KahaDB folder, re-enabling the service, and restarting Tableau Server successfully restored the Messaging Service and returned all nodes to a healthy state.

Thanks

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Webinar: Oracle Database 26ai Security New Features

Join us for an exclusive technical session exploring the latest security enhancements in Oracle Database 26ai. Learn how Oracle helps secure modern enterprise and AI-enabled workloads using built-in security capabilities such as SQL Firewall, Transparent Data Encryption (TDE), Unified Auditing, Database Vault, Oracle Data Safe, and modern authentication mechanisms. This session includes practical demonstrations, best practices, and real-world implementation guidance for DBAs and architects.

Date & Time
July 31st 2026 | 8:00 AM – 9:00 AM Pacific Time (GMT-07:00 | San Francisco)

This session is ideal for:

• Oracle DBAs
• Database & Solution Architects
• Security Professionals
• Oracle Developers
• Cloud Engineers

Topics covered in this webinar include:

• Oracle Database 26ai Security Overview
• AI Security and Protecting AI Workloads
• SQL Firewall Architecture and Administration
• Transparent Data Encryption (TDE)
• Unified Auditing and Fine-Grained Auditing
• Authentication using Microsoft Entra ID, IAM and Kerberos
• Database Vault and Least Privilege Administration
• Oracle Data Safe Security Assessment and Data Masking
• Oracle Database 26ai Security Best Practices
• Live Demonstration of Key Security Features

Key Takeaways

• Understand the latest Oracle Database 26ai security enhancements.
• Learn how to secure AI-enabled and enterprise database workloads.
• Implement Oracle security best practices to reduce cyber risks.
• Improve compliance using auditing, encryption, and least privilege.
• Gain practical knowledge through real-world examples and demonstrations.

How to Register

Please send an email to: SatishbabuGunukula@gmail.com to register and receive webinar passcode details.

Click here to join the Meeting
Click here to download the Presentation