Preventing Data Loss

Does the thought of accidentally messing up your backup, sending sensitive information to a wrong recipient, or thieves getting their hands on your data, make you quiver with fear? Data losses of great magnitude are scary events, but the good news is that some planning ahead will reduce the odds of this happening. Let us quickly explore solutions to put in place a Data Loss Prevention (DLP) system.

How Can I Prevent Data Loss Today?

“How can I prevent data loss?” is not always a question that has one answer. It can be a very complex problem that needs to be addressed from multiple angles. However, you need to identify your core objectives. The four most common objectives include prevention of leakage to the internet and prevention of loss arising from natural disasters. Along with these come unauthorised access and prevention of data loss arising from faulty backups.

How can I prevent data loss? Pay attention to security!

For instance, to prevent leakage to the internet, a system-wide policy needs to be put in place. This reads, hashes and then stores all sensitive information to a secure and encrypted location in your network. The effect of this is that any information leaving your network is read and possibly flagged or quarantined if it contains any pre-determined strings.

Eliminate False Comforts – Always Back-up!

You can never be too careful when it comes to ensuring your data is safe. Unexpected situations such as a backup location failing unexpectedly can become a crisis if this is the only place you backed up. Ideally, you need to have at least three backup locations. If your data is compromised as a result of fire or natural disaster, an off-site backup location, such as the cloud, can be used to backup.

3 Core Principles Of Data Loss Prevention

To prevent data loss, remember that a backup that isn’t regularly tested for quality does not count as a backup. The more effort you commit to securing your data, the fewer chances there will be of any mishaps occurring. You must have articulated objectives before setting up any DLP systems for your data. No system is 100% effective, but you can never be too careful.