How does Cloud data loss prevention (DLP) Software Help Safeguard a stakeholder’s Data? Even though a lot of organisation appear to understand both the reputational impacts of security breaches as well as their legal consequences, efforts to mitigate the factors that lead to data breaches of clients and employees seem to be falling back.
As a matter of fact, this seem to be in part due to the increasing amount of data that companies now manage. Secondly, there is also a fact that this data is increasingly being stored in the cloud. That’s not all, these two factors greatly increase the attack surface of a lot of companies, thereby increasing security breach risk.
With those information seen above, this is where cloud data loss prevention (DLP) comes into the scene. As a security control model, cloud data loss defence allows security staffs to know where their most sensitive data is within their cloud silos. After that, they can then put into place access controls that trigger whenever this data is accessed or shared by unauthorized users on any system.
Functions of Data Loss Prevention (DLP) Software
The function of a data loss prevention software (DLP) specifically discover, classify, and detect personal information (PII). Secondly it identifies protected health information (PHI), other unique identifiers, as well as secrets and credentials. By making use of machine learning based detectors, a DLP is able to automatically scan cloud environments for sensitive data with each detector having been specially trained to identify a unique token type. Read through these healthy ways you can protect your data in the cloud.
With over one hundred machine learning detectors for all types of personal information, keys, secrets and credentials, as well as the ability to detect custom token types, a data loss prevention software is a comprehensive data discovery and classification tool. We recommend that you hire a security teams that has the ability to manually or automatically remediate data leakage incidents in the cloud.
In conclusion, please note that a DLP platform can redact, quarantine, and delete text, strings, messages, or files containing sensitive tokens. The team you choose to hire should be capable of operating in a variety of SaaS and IaaS environments. They include; Slack, GitHub, Google Drive, AWS, the Atlassian suite and much more. This would let you keep your customer and employee data safe no matter where it is.
