Data loss prevention solutions are becoming more and more popular as businesses seek strategies to reduce the risk of sensitive data leaking outside of their organizations.
According to Gartner, 90% of enterprises will deploy at least one type of integrated DLP between 50% in 2017 and 2021. DLP solutions are based on several core technologies that enable engines to reliably detect sensitive data that organizations must see. Take corrective action to protect and prevent accidents. This essay discusses the various techniques used in DLP systems today.
It is utterly crucial for a company to have a data loss prevention policy in place. This can include data loss prevention, intrusion prevention systems, system information, event management, endpoint protection, and antimalware systems.
Data Loss Prevention (DLP) is a technique for detecting and preventing data breaches, leaks, or unauthorized loss of sensitive data. DLP is used by organizations to safeguard and secure their data while also complying with regulatory standards. DLP relates to both safeguarding companies against data loss and preventing data loss.
A data loss event is one in which critical data for an organization is lost, such as a ransomware assault. The goal of data loss prevention is to keep data from being illegally transferred outside of the enterprise.
DLP technologies are roughly classified as Enterprise DLP and Integrated DLP. While Enterprise DLP solutions are extensive and come in the form of agent software for PCs and servers, physical and virtual appliances for monitoring networks and email traffic, or soft appliances for data discovery.
Furthermore, integrated DLP is restricted to secure web gateways (SWGs), secure email gateways (SEGs), email encryption solutions, corporate content management (ECM) systems, data categorization tools, data discovery tools, and cloud access security brokers (CASBs).
Watch this small YouTube video by Google Cloud Tech to have an overview of Data Loss Prevention -
For current digital ecosystems, on-premise data preservation is insufficient. The tool should be able to provide insights about data usage, user behaviour, and any security threats.
One of the core elements of any data loss prevention product is the ability to automatically scan massive information stacks and classify data based on the degree of risk/sensitivity.
A completely remote contact centre may employ laptops and AV peripherals, each with its own data security requirements. CompariTech defines the following DLP tools used by most companies to prevent their companies from insider threats, data exposure, and many more cyberattacks.
The purpose of Endpoint Protector is to protect data operations performed on the end devices of employees running various operating systems. It integrates easily into Windows, Mac, and multi-OS mixed systems and also supports Android devices.
Endpoint Protector is a complete DLP solution. Check both content and context to control/restrict data exchange. You can also force-encrypt USB drives with password access.
Endpoint Protector also performs end-to-end eDiscovery to encrypt or delete sensitive data as needed. It also regulates the use of devices based on vendor ID, serial number, and other characteristics.
Comodo MyDLP is an all-in-one solution that protects all your data stored in the cloud, as well as all your sites and endpoints. The program monitors and protects sensitive data and uses whitelists and blacklists to assess whether people have access to sensitive data. Defines what users who have access to the data can do with it.
This DLP technology secures the endpoint and the rest of the network. It can be configured to restrict the flow of data containing sensitive information to prevent the data from leaving the system.
It`s simple to use and may be accessible through the cloud or installed on-premises. Though MyDLP is a generally beneficial tool, I've heard criticisms that it doesn't do a good job of detecting sensitive information in the first place. (Source)
Symantec DLP solutions combine user activity monitoring with data risk management. It has the ability to monitor data stored on servers, PCs, mobile devices, and cloud storage.
After installation, the first scan detects any location containing sensitive data and gives you the option to delete it to a central management server, secure your data store, or secure it in place.
You will receive templates and procedures for HIPAA, GDPR, and PCI DSS compliance. Combining DLP with user activity tracking to enhance the experience. It also includes automatic scans that can identify where sensitive data is stored. It provides pre-built employees and workflows for critical compliance standards, as well as great out-of-the-box functionality.
Code42 uses data files in the same manner as SIEM solutions use log files. Monitors back up, and restores original copies of data files whenever modifications are made. It also monitors all access to these data files and prevents any copying or transferring.
All file operations, including those performed by Code42, are recorded in order to produce the audit trail needed by data security requirements.
Corporate data protection strategies are implemented in DLP solutions utilizing a rule basis termed "policy," as seen by the descriptions of other technologies supplied below. Code42 operates on a distinct system and does not employ policies.
Nightfall is one of the industry's first cloud data loss prevention technologies to integrate with any virtual data stack spanning Google Cloud, Azure, Microsoft Dynamics, and SaaS programs such as LinkedIn, Workday, and more.
AI and machine learning capabilities are unique in providing very high accuracy in content classification.
Nightfall has numerous ready-made integrations. Nightfall integrates with major collaboration platforms like Slack, Outlook, and SharePoint to keep track of all your data links.
AI and ML Engine Nightfall are some of the characteristics that set it apart from its competitors. There are deep learning-based classifiers that use contextual analysis to properly classify unstructured and chaotic inputs.
Teramind DLP will assist you in meeting GDPR, HIPAA, ISO 27001, and PCI DSS compliance. The utility begins by scanning your whole system for sensitive information. The search uses standard data formats, such as Social Security numbers or credit card numbers. It also scans all papers using OCR and natural language processing.
The bundle contains data security policy templates to assist you in developing your DLP strategy. This technology focuses on two areas: insider risks and data security.
User tracking functions encompass activity on websites, apps, and the network. Offers an excellent user interface that is straightforward to explore and understand, as well as highly graphic reporting and real-time monitoring.
McAfee Total Protection for DLP combines the best products from this security behemoth in the data protection field. It may be utilized in the company for content categorization and sensitive data identification.
It can also prevent security controls from being applied to data in motion, mobile endpoints, email, and other vulnerable vectors. Its service is outstanding when it comes to monitoring data in motion with real-time analysis and event reporting. Additionally, cloud-to-device DLP (Windows, macOS, and OS X) may be utilized to secure your endpoints and edge devices.
Also Read | Best Data Security Practices
Security used to be an inconvenience sometimes, but now it’s a necessity all the time. - Martina Navratilova
Get a Complete Guide to Information Security by clicking here.
At the end of the day, a data loss prevention plan is essential for securing your data, protecting intellectual property, and remaining compliant with legislation.
DLP solutions sophistically ensure that each and every confidential/classified data in your firm is never lost, mishandled, or accessed by unauthorized individuals.
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