Cortex Cloud Data Security use cases - Learn more about the main use cases in Cortex Cloud Data Security. - Administrator Guide - Cortex XSIAM - Cortex - Security Operations

Address your compliance requirements and avoid penalties. for security standards such as GDPR, PCI DSS, NIST, HIPAA, and others.

Ensure data residency and sovereignty.

Discover and visualize all your data assets across the different cloud service providers, SaaS applications, and on-premise data stores, which will help you understand where the sensitive data is, how it is used and how it is moving across the organization.

Classify and identify sensitive information stored in data assets, including personally identifiable information (PII), regulated data (PHI, PCI, SOX), and corporate secrets defined in structured, semi-structured, and unstructured data.

To understand your data, use the Data Security Dashboard, which provides visibility into all the data assets. The complete list of your data assets can be found under Data Inventory, where you can investigate each individual asset.

Utilizing the Cortex Cloud Identity Security module, understand which entities, human and non-human, have access to your sensitive information and how it is used within the organization and outside of the organization.

Reduce the attack surface on your sensitive data by identifying and eliminating the data threat vector early in the kill chain, such as publicly accessible sensitive data, insecure data movement, lack of backup or versioning, lack of encryption, and more.

Create a centralized view of all data exposure issues by applying a single policy across multiple cloud deployments.

Prioritize your security measures by content type.

Protect all of your data in real time.

To detect security issues in your data assets, use Data Issues.

Significantly reduce cloud costs by identifying orphaned snapshots, shadow backups, and stale assets that contribute to unnecessary storage expenses. It automates data retention policy analysis, ensuring compliance while preventing excessive data storage costs.

By managing large asset inventories and prioritizing financial efforts on critical resources, you can optimize cloud utilization. Additionally, its data freshness analysis helps remove outdated assets, further cutting expenses.