Cloud Data Protection
Unified Policy Engine
With a unified policy engine, it is easy to create, edit, and extend an authentication policy, data at rest policy, and data in motion policy across SaaS, private enterprise, and web apps.
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Define Policy Frameworks
Access control policies allows you to apply continuous and adaptive security controls to user activity. See how easy it is to create authentication policies, data-at-rest (API) policies, data-in-motion (Access) policies, and decryption (Dynamic DRM) policies.
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Monitor and Audit Activity
With a unified policy engine, you can quickly see how effective your security policies are across your SaaS, private enterprise apps, and websites.
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Extended Context Rules
Contextual awareness plays an important role in defining and enforcing security measures tailored to your unique environment.
Fortra SSE understands the language of modern web apps, allowing for deeper knowledge about where and how your data is being used.
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DRM
Quarantine Potential Violations
Determining a data protection strategy can often be complex. By quarantining a file, your security administrator can thoroughly review it for potential security violations before implementing any data protection measures.
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Adjust Sharing Permissions
With Fortra SSE, Digital Rights Management (DRM) extends beyond content-specific protections to include sharing permissions, and you can very easily create a policy that detects a publicly accessible share and rescind the public share.
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Apply Content Protections
When DLP detects sensitive information, you can automatically apply numerous Digital Rights Management (DRM) protections to prevent accidental data leakage. With content digital rights, you determine how to protect sensitive information.
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UEBA
Defining Adaptive Thresholds
With adaptive thresholds, you have the ability to influence the user's overall risk level. The unified policy engine can leverage a user's risk level as a contextual attribute to determine if an action should be allowed, denied, or restricted.
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Reviewing Anomalous Activities
By leveraging machine learning, User and Entity Behavior Analytics (UEBA) monitors and analyzes user behaviors to identify anomalous activities that could indicate potential security threats. This approach enhances threat detection and also enables you to respond quickly to suspicious actions.
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Managing User Risk
With User and Entity Behavior Analytics (UEBA), machine learning creates a profile for each user to generate a risk score that you can use as a context in your security policies.
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Anomalous User Behavior
The anomalous activities dashboard provides a centralized view of potential security risks within your environment. A compromised user account may exhibit a geolocation anomaly, appearing to be in multiple, geographically distant locations at the same time.
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DLP
Fine Tuning Enforcement
Data loss prevention rules can be further refined to help reduce the potential of detecting false positives. When you are looking for data contained within files (unstructured data), you can leverage document rules to provide greater granularity into specific file criteria.
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Defining Compliance Rules
Data loss prevention (DLP) compliance rules enable you to consolidate various data types into a single configuration that meets specific regulatory standards. Start with one of our 300+ preconfigured compliance regulations or create rules specific to your data compliance needs.
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Discovering Data Types
Understanding your important data types is crucial for effective data loss prevention (DLP). To quickly get started with discovering your data, you can leverage a library of roughly 900 pre-configured data types.
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Data Compliance
Prevent Data Leaks on Social Media
Your users are sharing information on social media to build their personal brand, connect with their professional network, and showcase their expertise or achievements.
Fortra SSE can help prevent such leakage by monitoring and controlling data flow across platforms, ensuring that sensitive information remains protected from unintended exposure.
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