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A Comprehensive Guide to Choosing the Right DLP Security Software for Your Business


Businesses must clearly understand their priorities before purchasing and implementing a DLP tool. This includes determining the data types and communication channels that must be protected. Some common tools used by DLP have encryption and access control. Encryption protects data at rest or during transfer by converting it into a different format.


As the work-from-home trend and more sophisticated cyber attacks continue to impact business, many organizations have adopted DLP software solutions. These tools protect confidential data at rest, in use and motion by monitoring employee behavior and preventing sensitive information from leaving the company through email, cloud storage services and USB keys. Choosing a DLP solution should include a strategic planning process. Start by identifying the most critical data and determining how much of a financial impact it could have if lost. This will help you create a security policy that encompasses those items and determine how to protect them best. Another important consideration is to define the infrastructure and endpoints that need to be monitored. It would help if you also considered the types of devices your employees would use, including smartphones, tablets and laptops. Choose a solution that can be deployed on those devices. Lastly, consider the cost of implementing and maintaining DLP software. The efficiency of a DLP tool depends on its ability to adapt to changing threats, so a DLP program should be regularly evaluated and tested to ensure it’s effective. Most DLP solutions focus on blocking actions, such as forwarding business emails outside the corporate domain or uploading a private file to a consumer cloud storage service. Some solutions monitor behavior and use behavioral analytics to spot anomalies, such as when an employee downloads a malicious app or many files from the web. These are typically offered as software-as-a-service packages or as virtual appliances.


When choosing a google workspace ransomware protection, finding one that’s reliable is critical. The tool should be able to detect attacks that other cybersecurity tools miss and work closely with the team to reduce risk. Additionally, the DLP should integrate with existing security measures to maximize effectiveness and minimize disruption. DLP solutions monitor and protect data at rest, in motion or on user endpoints. They use various methods to identify sensitive information, including regular expression matching (analyzing text for patterns such as 16-digit credit card numbers or nine-digit Social Security numbers) and structured data fingerprinting.

While it is impossible to eliminate all risks, DLP tools can help businesses reduce their vulnerability to breaches caused by employees and unintentional exposure. Breaches occur every 11 seconds, costing a company millions in lost revenue and brand damage. They also expose organizations to stiff fines for regulation violations. With the average costs of a breach at more than $3 million and the impact on a business’s bottom line for years, the right DLP security software can be a crucial investment. A reliable DLP solution paired with a robust cyber policy and zero-trust access controls is the best defense against breaches and other leaks. Deploying a DLP solution begins with assessing the company’s technology, needs and gaps in sensitive data coverage. Then, a comprehensive DLP solution can be tailored to fit your organization.


A good DLP security solution must scale as your business grows. It must support a variety of platforms, apps and tools that are being used in your organization. It must also be able to monitor the thousands of endpoints in the cloud and on users’ devices that can access your data. Ensure that the tool you are considering can perform a complete inventory of your business’s data and classify structured and unstructured information. This must include personal information, financial data, regulatory information and intellectual property. The DLP tool should be able to set policies for handling this data, both at rest and in transit.

DLP tools must be able to take action when they identify a possible policy violation. They should be able to log the event and notify an administrator, stop a transfer or even encrypt the data to prevent its theft from outside hackers. The tools should be able to integrate with your SIEM and other security tools. The right DLP software can significantly help your business avoid costly data breaches that can damage its bottom line. In addition to fines and lost customers, a data breach can lead to a decline in trust from the public and other stakeholders. These negative effects can be especially devastating for small businesses, which may struggle to recover from the loss of public faith and revenue.


DLP is an important component of a comprehensive security program. It protects sensitive data from unauthorized access, misuse or theft. It can also detect unintended actions threatening the organization’s security, such as sending confidential information to an external party or leaking personal data through an email attachment. In addition, it enables security teams to respond quickly when breaches occur.

The cost of a single data breach can hurt a company’s bottom line. The average loss is $4.2 million per incident, according to a report from the Ponemon Institute and IBM. The impact extends beyond the cost of repairing the breach. It can cause a loss of reputation and damage brand image, and it may lead to legal action.

It’s important to choose a DLP solution that is flexible. For example, some solutions offer templates for DLP policies to make it easier for businesses to identify which organizational files are subject to DLP protection. Others use deep content analysis techniques like keyword matches, regular expressions and internal functions to recognize content that should be protected.

Another consideration is how flexible a DLP solution protects data at rest and in motion. For example, a DLP solution should be able to detect whether sensitive data is being sent over the internet, between networks or from a local storage device to a cloud service. It should also be able to prevent data from being accessed by unauthorized people through technologies such as intrusion detection systems and firewalls.

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