- Threat Protection
- Policy Management
- Incident Management
- Sensitive Data Identification
- Blacklisting
Prevent data leaks, protect your assets.
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Symantec Data Loss Prevention (DLP) Software stops sensitive data from leaving the network, protecting valuable assets by reducing the risk of information leaks. DLP integrates directly with Symantec endpoint, server, storage and cloud management platforms for a comprehensive security solution. ... Read More
Threat protection is a software feature designed to safeguard computer systems from potential cyber threats and attacks. This comprehensive security feature offers a layered defense mechanism that utilizes various techniques to identify, prevent, and mitigate potential threats. One of the main capabilities of threat protection is its ability to detect and block malware, such as viruses, spyware, and ransomware. This is achieved through the use of real-time scanning, behavioral analysis, and machine learning algorithms that rapidly identify and quarantine any malicious files. Moreover,
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
Blacklisting, also known as blocklisting, is a software feature that allows users to control and limit access to certain content or websites. This feature is often used in security software, such as firewalls and antivirus programs, to prevent users from accessing malicious or inappropriate websites. With blacklisting, the user or administrator can create a list of specific websites or types of content that are deemed inappropriate or dangerous. When a user attempts to access a blacklisted site, the software will automatically block the connection,
File analysis is an essential software feature that allows users to examine and understand the contents of a file. It provides detailed insights into the characteristics and properties of a file, helping users make informed decisions about how to manage and utilize it. One of the most significant functions of file analysis is its ability to categorize and organize files based on different criteria such as size, type, and date modified. This feature makes it easier for users to locate and access specific files, especially in larger databases. Furthermore,
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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Symantec Data Loss Prevention (DLP) Software stops sensitive data from leaving the network, protecting valuable assets by reducing the risk of information leaks. DLP integrates directly with Symantec endpoint, server, storage and cloud management platforms for a comprehensive security solution. It can discover confidential information and protect it using policies and actions that are integrated with existing security tools to simplify compliance while ensuring all data is highly protected.
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].
Researched by Rajat Gupta