Data Secure: Are Oracle database features so great?

In a single, unified console, Oracle Data Safe enables enterprises to comprehend data sensitivity, analyze data risks, mask sensitive data, deploy and monitor security policies, evaluate user security, and keep track of user behavior. These tools aid in managing the ongoing security and compliance needs of Oracle database features, both locally and remotely. Oracle Data Safe Unified oracle autonomous database security product tour Quickly explore the database security cloud database management systems service to see Data Safe's features in action.

IDC report: Data Intelligence: Safeguarding On-Premises and Cloud Databases

Recognize the essential elements that enable relational databases security, data governance, and data protection, as well as how Oracle Data Safe may assist organizations in achieving these objectives.Infographic: Oracle Data Safe can save you money and time. With Data Safe, find out how to enhance database security, quicken compliance initiatives, and save time and money.Participate in the Oracle Data Safe workshop on LiveLabs to gain practical experience. In roughly two hours, it covers all of oracle autonomous data warehouse essential features.

Keep configuration drift at bay: Oracle databases features

Oracle database products quickly assess the state of database security. Data Safe gives thorough evaluation reports on security parameters, security measures in use, and user roles and rights in addition to identifying, classifying, and prioritizing risks. Establish and keep up security baselines to quickly spot configuration risks to structured data stored electronically. Enforce uniform application of security controls throughout the organization and database administration. Get advice on how to comply with regulations including the EU GDPR, DISA STIGs, and CIS standards.

Enforce the least privilege principle

Reduce the risk posed by users by managing their rights and authentications. Recognize potentially harmful behavior and privileged users. Data Safe conducts an analysis of the permissions given to users who are considered to be the greatest security risk, identifies those users, and enables the behavior of those users to be studied with oracle database editions. Take into consideration facts about the profile, such as the user type, the password rules, the date of the most recent login, and the age of the password.

Keeping track of database operations

Audit information needs to be acquired from databases, and actions that are out of the ordinary have to be recognized. Management of audits, relational database engines and notification standards that is simple. For the purpose of doing database activity analysis, you may either make your own or make use of audit reports that have already been prepared. It is essential to have audit data on hand to provide assistance for forensic investigations and to fulfill compliance requirements.

Recognize data and risk: Oracle database features

Discover and categorize sensitive data using a library of over 150 already specified sensitive data categories that can be readily expanded with custom data kinds to satisfy the needs of any organization. Personal identifiers, IT data, financial data, healthcare data, and employment data are just a few examples of predetermined data kinds that have predefined masking formats as well. Knowing the kind, quantity, and placement of sensitive data within databases will help you assess the risk and your needs for data protection.

DevTest risk should be eliminated

You should use data that is plausible but hidden in a place of the sensitive data that you need to use in non-production settings. You won't be putting yourself in any danger by using the data now. Maintain the complex data exchanges that are required for analytics, testing, and development; however, cut down on the total amount of sensitive data and the associated risk. Data Safe offers both traditional masking forms and the opportunity to construct one's own bespoke masking formats.

Relational database management system

This allows it to cater to the requirements of a wide range of companies, each of which has their unique specifications that must be met. The amount of manual labor required to carry out activities requiring masking has been drastically reduced as a result of the fact that all recognized types of sensitive data come with their accompanying masking format. After that, masking reports will demonstrate how these safety and compliance precautions have been taken into account.

Overview of Oracle database features

Oracle Data Safe is a single control point for your Oracle databases that can assist you in determining the level of sensitivity of your data, analyzing the data security compliance requirements of your organization, masking sensitive data, putting into place and monitoring security rules, and determining the level of risk that your data is exposed to.

The Oracle Data Safe's features: database system

In a single, user-friendly administration console, Oracle Data Safe offers the following features for safeguarding sensitive and regulated data in Oracle databases:

• You can evaluate the security of your database configurations with the aid of security assessment. It examines database setups, user accounts, and security measures before reporting the results and making suggestions for corrective actions that adhere to best practices to lower or mitigate risk.
• User assessment aids in determining high-risk users and evaluating the security of database users. It evaluates user information from your target databases' data dictionaries and assigns each user a risk score. For instance, it assesses the different user types, the authentication methods used, the password policies applied to each user, and the amount of time that has passed since each user changed their password.
• Additionally, it offers a direct connection to the user-specific audit records. You may then implement the necessary security controls and policies using this information.
• You can find sensitive data in your databases with the use of data discovery. You choose the sensitive data type that you want Data Discovery to look for, and it examines the actual data in your database and its data dictionary before giving you a list of sensitive columns.
• Data Discovery by default has a broad range of sensitive data search capabilities, including those for identification, biographic, IT, financial, healthcare, employment, and academic data.
• You can hide critical data with data masking, making it secure for non-production uses. Organizations frequently need to make copies of their production data, for instance, in order to support development and testing activities. Simply copying the production data makes private information accessible to new users.
• You can use Data Masking to swap out the sensitive data with plausible-looking but fictional data to prevent a security risk.
• You may audit user activity on your databases using Activity Auditing, which allows you to keep track of database utilization.
• Alerts keep you updated on any odd database activity as it occurs.