- Policy Management
- Incident Management
- Sensitive Data Identification
- Data Leak Detection
Prevent your data from getting lost or theft
(12 ratings)
Forcepoint DLP offers custom pricing plan
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Forcepoint DLP is flexible design fully integrates with technology to lock out attackers and proactively protect data from multiple internal and external threats. It prevents sensitive information from being transferred outside a network, used where it shouldn't be, or copied ... Read More
Policy Management is a software feature that allows organizations to easily create, update, and enforce policies across their entire network. It serves as a central repository for all policies, ensuring consistency and compliance across departments and locations. With Policy Management, administrators can define policies, such as acceptable use and security protocols, and assign them to different user groups. They can also track policy changes and updates, ensuring that employees are aware of any revisions. The feature also allows for automated enforcement of policies, ensuring that all devices
The service desk, which is the single point of contact for all users dealing with IT, is usually tightly associated with incident management. When a service is disrupted or fails to achieve the promised performance during regular business hours, it's critical to get it back up and running as soon as possible. Any situation that has the potential to cause a breach or degradation of service should be met with a reaction that prevents the actual interruption. The goals of incident management are as follows. The incident management method focuses primarily on handling and escalating events as they occur to restore predetermined service levels. Root cause analysis and problem resolution are not part of incident management.
Sensitive data identification is an essential feature that helps in the identification and categorization of sensitive data within a software system. It is a process of scanning through different types of files, documents, and databases to locate and identify sensitive information such as personally identifiable information (PII), credit card numbers, and confidential business data. This feature utilizes advanced algorithms and data analytics techniques to scan through large volumes of data and determine the presence of sensitive information. It employs techniques such as machine learning, pattern recognition, and
Data leak detection is a crucial feature that helps organizations protect their sensitive data from being accessed or disclosed without authorization. It involves the identification and monitoring of data flows within an organization's network to detect any potential data leaks. One of the main objectives of data leak detection is to prevent any unauthorized access to sensitive information, whether intentional or accidental. This is achieved by setting up certain protocols and security measures to detect any data leaks in real-time. With the increase in cyber threats and data breaches, data leak
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Forcepoint DLP is flexible design fully integrates with technology to lock out attackers and proactively protect data from multiple internal and external threats. It prevents sensitive information from being transferred outside a network, used where it shouldn't be, or copied by untrusted users. And it provides alerts that tell user when a policy has been violated so they can take action and reduce the risk of data loss.
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].
Researched by Rajat Gupta