New AI-powered anomaly detection and in-memory processing capabilities in the Oracle Utilities Customer Platform are helping deliver fast, accurate meter data management (MDM) and streamlining ...

This creates a single point of failure. When someone compromises the key, all customer data is at risk. Moreover, annual key rotation might not be frequent enough for such sensitive PHI data. Next, ...

Database security is crucial to protect the integrity, confidentiality, and availability of data. It builds customer trust, helps comply with regulations, and reduces the risks associated with ...

In its release guidance, Oracle said, “For product longevity and patching, Oracle strongly recommends upgrading to 19c which is the current on-premises Long Term release with a support end date ...

The article discusses five cybersecurity pillars to improve data protection: risk management, AI, encryption, optimal cloud environments, and incident response.

Keywords: privacy-first framework, data privacy, user trust, data protection, GDPR compliance, CCPA compliance, DMA compliance, consent mechanisms, privacy by design, scalable privacy solutions ...

Key Takeaways Data management is the process of putting data governance policies into practice and ensuring data is handled effectively throughout its lifecycle. It is an ongoing process with its own ...

For example, on Macs, the encryption key would be stored in the Keychain, and on Linux, it would use the windows manager's secret store, such as kwallet, kwallet5, kwallet6, and gnome-libsecret.

Transparent Data Encryption (TDE) is an essential security feature for databases, designed to encrypt data at rest—meaning the actual database files on disk. It is widely implemented in database ...

OpenAI, the leading AI research and development provider, is transparent about the fact that around one in five responses from its technology could include incorrect information. A 20% ...