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Oracle Advanced Security

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Description

No matter what your privacy requirements may be, our AI technology safeguards your information effectively. Companies often face challenges in adapting to the fast-changing landscape of privacy laws, which can result in significant penalties and a deterioration of customer confidence. The potential for sensitive data to be compromised during AI interactions raises valid concerns regarding data privacy. Many organizations struggle to maintain control over the processing and usage of their data within AI frameworks, which can lead to serious misuse. Our innovative platform harnesses the power of AI to automatically detect and secure sensitive information, guaranteeing the safety of your data. By employing our platform, you can stay proactive in adhering to data privacy regulations and ensuring compliance with current standards such as GDPR and CCPA. Experience real-time redaction of sensitive details while facilitating smooth interactions that preserve data integrity. Furthermore, our privacy solutions are customizable, allowing you to adapt them to your business's specific requirements, providing a range of flexible options for data protection and redaction. Take control of your data privacy strategy today and build stronger trust with your clients.

Description

Utilize Oracle Advanced Security to encrypt application tablespaces, thereby safeguarding sensitive data from unauthorized access. Implementing redaction policies helps curb the spread of sensitive information and enhances compliance with data protection laws. Transparent Data Encryption (TDE) acts as a barrier against potential attackers who might attempt to read sensitive data directly from storage by ensuring encryption of data at rest within the database. You can encrypt individual data columns, entire tablespaces, database exports, and backups for better control over access to sensitive information. Data Redaction works in conjunction with TDE to further mitigate the risk of unauthorized data exposure within applications by obscuring sensitive information before it exits the database. By allowing for partial or full redaction, it prevents extensive extraction of sensitive data into reports and spreadsheets. Additionally, encryption is carried out at the database kernel level, which removes the necessity for modifications to existing applications, thus streamlining the implementation process. Ultimately, these security measures work together to provide a robust framework for protecting sensitive data throughout its lifecycle.