Rapid digital transformation has led to an explosion of sensitive data being generated across the enterprise. That data has to be stored and processed in data…
Contractors and other organizations that do business with the federal government now have clearer, more straightforward guidance for protecting sensitive data.
As you saw in Securing a data foundation, access to data in various projects can be managed by project owners. This is what’s known as discretionary access controls ↗ . However, when it comes to sensitive data, a stronger, more centralized access control model is needed. In our example, we have a notional dataset containing passenger birth dates (DOBs), which constitute Personally Identifiable Information (PII). We may want to tightly control this PII, and ensure that this data is only accessible to those who have gone through a PII trainin ...
Earn a skill badge by completing the Protect Sensitive Data with Data Loss Prevention quest, where you use the Data Loss Prevention (DLP) API to inspect, redact, and de-identify sensitive data in G...
Authorization Controls: Such systems must require a user ID and password for access and must be two-factored enabled. WSU uses Duo for 2-Factor authentication and access will be restricted based on an individual’s job responsibilities and provisioning state. Network Security Controls: All transmission of Sensitive Information via the Internet must be through a properly secured connection point to ensure the network is protected. Such systems must be protected by a host or network firewall and ...
Learn key strategies to protect sensitive data with top-notch data security services and ensure robust data management.
Note · Making Open Source More Inclusive · Red Hat is committed to replacing problematic language in our code, documentation, and web properties. We are beginning with these four terms: master, slave, blacklist, and whitelist. We ask that you open an issue or pull request if you come upon a term that we have missed. For more details, see our CTO Chris Wright’s message.
Protect your sensitive data with Microsoft Purview ; Implement capabilities from Microsoft Purview Information Protection (formerly Microsoft Information Protection) to help you discover, classify, and protect sensitive information wherever it lives or travels. These information protection capabilities give you the tools to know your data, protect your data, and prevent data loss. Use the following sections to learn more about the available capabilities and how to get started with each one. However, if you're looking for a guided deployment, se ...
1 Introduction ; Data is increasingly a driver of innovation and improved product and service delivery. Advances in data-intensive methods like machine learning and artificial intelligence have fueled innovation in the private sector, improving product quality, customer experience, and lowering production costs [1]. The public sector has similarly begun exploring the use of big data, machine learning, and artificial intelligence to solve important policy challenges [2–6]. Many organizations, both private and public, require external expertise ...
Learn the best methods for protecting sensitive data.