Start 2026 with Confidence: Oracle AI Database 26ai Reaches New Security Milestones

In today’s digital landscape, organizations across regulated sectors—​from government agencies to banks and security-conscious enterprises—​require strong assurances that their data is protected according to globally recognized standards. Oracle continues to advance this commitment, starting 2026 with two significant security milestones for Oracle AI Database 26ai.

1. Common Criteria Certification Achieved

Oracle AI Database 26ai has obtained Common Criteria (ISO 15408) certification at Evaluation Assurance Level 2 (EAL2) utilizing the latest database management protection profile. This internationally recognized security standard involves independent, rigorous testing and validation for the security implementation of the database. This provides organizations a clear, reliable indicator when comparing database solutions or addressing regulatory requirements.

2. FIPS 140-3 Laboratory Testing Complete

Oracle has also completed laboratory testing for its OpenSSL FIPS provider against the FIPS 140-3 standard. The module now appears on the NIST Cryptographic Module Validation Program (CMVP) modules-in-process list. This cryptographic module is central to Oracle AI Database 26ai, ensuring modern and robust data encryption to safeguard sensitive information and support compliance with evolving global cryptographic regulations.

Depending on your compliance needs, Oracle AI Database 26ai provides options for:

  • FIPS 140-2 mode: Uses a cryptographic module fully validated under the established FIPS 140-2 standard.
  • FIPS 140-3 mode: Uses a cryptographic module that has passed comprehensive lab testing and is currently under CMVP review for FIPS 140-3, positioning you to support modern standards and to mitigate threats.

A Foundation Supporting Comprehensive Security Controls

These security milestones form the trusted base upon which Oracle’s advanced data protection technologies operate. Security technologies such as TLS, database authentication, Database Vault, Transparent Data Encryption (TDE), and SQL Firewall all benefit from independently validated cryptographic modules and certifications within Oracle AI Database 26ai. This helps ensure that every layer of Oracle’s security, from privileged user controls and encryption to authentication and auditing, is built on standards-based, demonstrable assurance.

This foundation is the bedrock upon which other advanced security capabilities are being rapidly incorporated. For example, Oracle AI Database 26ai is among the first to use quantum-resistant cryptographic algorithms. Algorithms like ML-KEM (for key exchange) and ML-DSA (for digital signatures) protect data in transit, while AES-256 protects data at rest. With support for NIST-approved AES-256 encryption and quantum-resistant TLS, Oracle AI Database 26ai positions organizations to address “harvest-now, decrypt-later” threats and prepare for a post-quantum security future.

Confidence Built on Evidence

The importance of these certifications and advanced cryptographic features cannot be overstated when it comes to building a robust AI Data Platform. Expanding on this, consider, for example, with Exadata X11M and Data Guard, you get these capabilities out of the box, supporting high-performance workloads, disaster recovery, and high availability, whether deployed in the cloud or on-premises. This uniform architecture not only strengthens security assurance wherever your data resides but also simplifies compliance, minimizes procurement and audit risks, and brings consistency to your encryption standards.

In an era where compliance must be both demonstrable and defensible, these milestones provide concrete evidence for audit and procurement processes. Oracle’s ongoing investment in security enables you to pursue innovation, confident in the assurance that your data and compliance strategies are well-supported now and in the future.