How to Prevent Data Loss with Teramind in 3 Easy Steps
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How to Prevent Data Loss with Teramind in 3 Easy Steps

The threat of data loss isn’t anything new, especially for large enterprises. In 2020 alone, 72% of data breaches targeted large business victims. Data breaches not only cost businesses millions of dollars, they also affect a company’s customer and client base. The loss of customer trust after a breach can be more detrimental than the breach itself, with many organizations being forced to shutter their doors for good following a major data loss event. It’s no wonder that the data security spending continues to grow even during economic downturns. 

Companies that invest in data security have reported millions of dollars in savings from being able to avoid the costs and downtime associated with data loss. As a monitoring software, the Teramind agent is an endpoint-based DLP solution that has the ability to monitor data that’s in use. Through a simple three-step process, you can prevent data loss Teramind by monitoring and tracking users’ data usage and behavior and alert administrators when their conduct puts the organization at risk of a data loss event. 

Step 1: Classify and Tag Sensitive Data 

Data discovery and classification is a cornerstone of any DLP software that identifies vulnerabilities in data protection. Rather than rely on traditional data discovery, which looks at outlying data events, Teramind DLP uses a proactive, real-time monitoring approach that alerts administrators to risky behavior as it is happening. Monitoring in-motion data like email, website usage, and file sharing as it’s happening provides an added layer of protection. Instead of needing to reclassify data types everytime it is moved, edited or shared, Teramind DLP classification supports instantaneous tracking of data through data tags. These tags combat the improper or malicious use of enterprise data and inform administrators immediately if the data is being used in an unauthorized way. Data classification within Teramind DLP allows for granular monitoring of different types of data and can be personalized to meet the specific needs of an organization. 

prevent data loss with teramind

When paired with behavior rules, data classification quickly and easily monitors and prevents further risky behavior by users. If Teramind detects the email contains improper or unauthorized use of data that’s been tagged, it will immediately alert the administrators and can block the action altogether. This on-the-spot notification of risky behavior makes it easier to prevent data loss with Teramind. On average, it takes 280 days for a data breach to be identified and contained. With each day that passes, a business loses. These losses come in many forms- Customer confidence declines, productivity comes to a halt and extra costs are incurred as IT works to recover the losses. By immediately notifying administrators of potentially high-risk behavior, using Teramind DLP decreases the time it takes to identify and contain a breach and can save hundreds of thousands of dollars. 

prevent data loss with teramind

Data classification tags can be customized to meet the needs of an organization. Some data, though, should always be protected from loss like personal financial, health or identifying data, so Teramind has existing templates built in covering those basics. In addition to such personal data, Teramind’s templates also include source code protection in a variety of languages to protect proprietary algorithms. 

After tagging and classification, the next step is setting behavior policies and rules that determine how data violations are handled. 

Build a Better DLP Strategy with These Data Loss Statistics

Step 2: Define Behavior Policies and Rules

Setting behavior policies and rules in Teramind tell the Teramind agent how to handle data and rule violations and establish other boundaries to prevent data mishandling. Other than notifying administrators of a rule violation, actions can be taken against the user to limit their ability to access data. Depending on the severity of the rule violation, users can be warned, blocked or locked out of accessing data altogether. 

prevent data loss with teramind

Teramind also has the ability to limit access based on the user or activity through its activity-based, agent-based or content-sharing rules. As it suggests, activity-based rules are applied to actions like uploading files to public cloud services. Agent-based rules are applied to the users. These rules can limit things like where and when users can access enterprise data. To limit access to data, administrators may restrict off-hours logins or logging in from an unauthorized IP address. Email, messaging and clipboard apps can be monitored via content-sharing rules. Say an employee attempted to copy a company bank account or invoice number to their clipboard, a content-sharing rule would activate prohibiting them from copying the content and also notify administrators that such an activity was attempted. Utilizing these rules minimizes the data access points and decreases the chance of accidental data loss or an intentional, malicious data leak. 

prevent data loss with teramindprevent data loss with teramind

Like data classification, rules and policies can be customized to fit an organization’s specific needs. Rules can be applied to all users or specific departments. Beyond limiting access to data, they’re also used to protect users and an organization’s network from potentially harmful websites. In 2020, web apps were involved in 43% of all data breaches. Being able to control access to websites and apps minimizes the risk of employees accidentally accessing such malicious websites and apps. 

Anytime rules or policies are violated, administrators are immediately notified. These alerts and reports can then be used to analyze and investigate user behavior to determine vulnerabilities among employees. 

Improve Your Team’s Data Loss Prevention Strategy and Their Overall Performance

Step 3: Investigate and Analyze Employee Behavior 

While data classification and behavior policies play an important role in Teramind’s DLP, the best way to prevent data loss with Teramind is by utilizing the Behavior Alerts report. 

teramind behavior alerts

The Behavior Alerts report provides valuable insights into employee behavior and is a powerful tool for investigating and analyzing data loss threats. Administrators are able to view all rule violation incidents and the pertinent information relating to them in one place. The information provided by these reports can be used to identify and correct negligent employee behavior before a data loss event occurs; and be used to analyze any suspicious activity that may point to a potential insider threat. Through the reports, administrators are able to see which employees have the most risky behavior, what rules are most commonly violated and which websites and apps are accessed. The Risk tab in the Behavior Alerts report provides even more information for analysis purposes. 

teramind behavior alerts

The Risk tab within the Behavior Alerts Report analyzes the impact of rule violations on your data safety. If a threat level changes for a particular violation, the Risk tab helps identify what caused the change and what users have high-risk scores.  With human error being the second most common cause of data loss, it’s important for organizations to be able to identify and prevent harmful employee behaviors. Behavior Alerts Report does exactly that. Once risky users or employees are identified through the reports, session recording and playback offer a look into exactly what the employee is doing that poses a threat. 

Conclusion 

Teramind DLP tracks data usage as it happens. By monitoring employees and their data behavior, accidental user-caused data loss is not only prevented, potential insider threats can be identified before they’re able to exfiltrate company data. With data being a company’s most valuable asset, organizations must work to ensure the security and safety of their enterprise data, especially against human or user error. Through these three steps, organizations can prevent data loss with Teramind and save themselves from a damaging, employee related data loss event.  

 

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