What About the Data Already Exposed?

Organizations invest hundreds of thousands of dollars in Proxy, CASB, and Firewall products to control and monitor real-time traffic, right here and now.

But what about the risks associated with data that isn't actively flowing through your network?

• Files exposed months ago
• Documents with sensitive information in SharePoint
• HR department documents in OneDrive
• Public folders in Google Drive shared years ago by an employee
• Financial information in Box that has been forgotten
• Malware already stored in SaaS applications
• Sensitive data uploaded before a Data Loss Prevention (DLP) policy was defined

These are risks that cannot always be seen through traffic monitoring alone.

How Netskope CASB API Closes the Gap

Netskope CASB API directly connects to your critical cloud applications and services, enabling direct scanning of stored content and information:

• Microsoft 365
• OneDrive
• SharePoint
• Teams
• Google Drive
• Gmail
• Salesforce
• Slack
• Box
• Dropbox
• ServiceNow
• GitHub
• ChatGPT Enterprise
• Claude Enterprise
• Workday
• Zoom

This direct integration allows Netskope to address dormant risks and provide comprehensive protection beyond real-time traffic.

Data Loss Prevention (DLP)

DLP is one of the most powerful capabilities, allowing organizations to identify and protect sensitive data regardless of when it was uploaded – whether a week, a month, or a year ago. This includes:

• Credit card numbers
• Identity documents
• Medical information
• Financial information
• Source code
• Intellectual property
• Trade secrets
• Classified documents

Exposure Detection

Exposure detection is crucial for identifying and mitigating a primary cause of data leaks. This capability focuses on:

• Files shared publicly
• Anonymous links
• Sharing with the entire organization
• Sharing with external users
• Exposed folders
• Sensitive files accessible to everyone

Threat Protection

Netskope provides robust protection against threats already residing in the cloud, even when a user is not actively accessing the file in real-time. This includes detection of:

• Malware
• Ransomware indicators
• Suspicious files
• Known malicious hashes
• Compromised content
• Infected documents

AI Data Protection

With the rise of AI, protecting data used and stored within these systems is paramount. Netskope addresses new risks such as:

• Sensitive information stored in AI systems
• Files with sensitive business data
• Uncontrolled use of AI applications
• Exposure of intellectual property