Data Loss Prevention – DLP – software can depict a very traditional technology depending on who you ask. But what does it mean to the enterprise in 2018?

How is it performing to meet the ever-evolving threats beyond what’s hitting global companies right now that are causing data breaches and enabling insider threats to cause real revenue and brand damage?

If you’re focused only on the ‘data’ element of ‘loss prevention’ then you’re in the right place – because we’ll get you up to speed quickly on what DLP needs to mean to your enterprise right now. Today at Teramind, we’re calling “blast off!” on a rocket ride that will launch businesses into the next phase of true prevention of their data loss from the threats they face now and will face years from now.

Our new enterprise Teramind DLP is intelligent, user-centric and evolving ahead of the most critical threats companies face. And there was never a time prior to now that companies had a greater calling to harden their security strategy. Here are the three core areas where you need Teramind DLP to outpace the traditional data loss prevention approach:

–        DLP Core 1: Data Visibility

–        DLP Core 2: Activity Monitoring

–        DLP Core 3: End User Behavior Analytics

DLP Core 1 – Data Visibility:

Global enterprises need to make real-time and quick, yet informed, educated decisions specific to their security needs. Where does your data travel to? It’s common practice today for data to journey across platforms and to different (and many) access points. Obtaining a transparent view of your dataflow is pretty much a requirement for many data security regulations as well as comprehensive data security.

The second part to data visibility is understanding who can access your data; their potential threat level due to malicious intent or negligence. Teramind DLP software provides a window to your data if it is compromised – you can look back and view where your data was accessed and by who. You cannot prevent further attacks or repair your infrastructure if you cannot source the system injury. You need to know where you data is at, and who has access to it in order to protect it.

DLP Core 2 – Activity Monitoring:

Teramind DLP helps you to definitively know – within set parameters – what your employees do on your system during their workday and how they’re working diligently  (or not) to maintain the integrity and security of your data. With insider threat and cyber attacks on the incline and steep consequences when one is successful – there’s no such thing as being over prepared when it comes to data security.

Teramind DLP is the lifesaver that sends you an alert about unwarranted and/or suspicious activity occurring with your data caused by a user, vendor or outside. Meet the DLP’s automated policy-based smart rule alerts that do this for you.

After you have achieved data visibility and can outline your objectives, Teramind DLP enables you to create sensible policies to govern the activity of your data. DLP’s alert capability notifies administration to any activity that is a policy violation. For example: If opening unknown attachments is a policy violation, enter this rule into your software to stop users from doing this action (or any action chosen by you) by notifying, redirecting, blocking or locking out the user. Email, website, application, instant messaging and network monitoring are all a part of this capability.

With Teramind DLP, the activity monitored is also recorded and logged, creating an IT forensic report. This way, if a data breach does occur or further investigation into unallowed activity is required; the organization can refer back to the incident using history playback feature. The IT forensic report can be detrimental evidence for solid security practices in the wake of a breach or audit.

DLP Core 3: User Behavioral Analytics

The machine learning abilities of Teramind DLP take your data security strategy up a notch. Forward thinking technology has coupled user analytics and IT forensics to create what DLP needs to be in 2018 and beyond. This feature ‘learns’ the user behavioral patterns to format a behavioral baseline and identifies deviations with smart rules and alerts that are sent to the administrator. Coupling this feature with the activity monitoring alert creates an extra defense layer to your security strategy.

When an end user makes the conscious decision to go from employee to insider threat, your data security strategy must shift as well. This decision to go from asset to threat is marked by behavioral changes. Some of the changes recorded may be working outside of usual hours or accessing data that’s not part of their usual tasks. The behavioral anomalies will be recorded along with actions made (enabled by the activity monitoring). This forensic data is brought to the attention of the admin in real time as the actions occur so swift investigation can begin.

Teramind DLP user behavior analytics can also indicate users that are struggling or working at a level that puts your security level at risk. Use this feedback to power training sessions with appropriate material to mitigate this.

Bottom Line?

Teramind DLP – intelligent, user-centric, ever-learning and evolving to stay ahead of the threat – saves your bottom line.

With over 2000 customers on the Teramind platform since 2014, Teramind is a leader in Data Loss Prevention software solutions, with an integrated platform that goes beyond the traditional DLP approaches, delivering on the promise of an integrated, intelligent  DLP solution that is based on user behavior, combining user activity monitoring, user behavior analytics, forensics and data loss prevention in a single unified platform, with a single common rules and policy creation and management environment, Active Directory (AD) and SIEM integration. Teramind DLP is available with cloud, private-cloud, and on-premise deployment options, designed to satisfy SMB and Enterprise needs.

For more information about Teramind DLP, please visit here, take a guided tour of the platform or get a free 14-day trial with no commitment to see the platform perform with your own data.