Data Loss Prevention DLP Service Effectively implemented DLP programs measurably reduce enterprise risk. In addition to being saleable and operationally efficient, a mature Data Loss Prevention Program is adaptable enough to handle business process changes or corporate acquisitions. What is Data Loss Prevention? Software & hardware that prevents sensitive data from accessing, using, sharing and leaking are classified as data loss prevention. Aurora's client requests CyberSecOp DLP and Cloud Access Security Broker to manage data protection as a service. It is critical for any business to protect its data; Aurora's Data Loss Prevention DLP Services will help you protect your business from any security breach. How does DLP work? DLP can be approached in two ways: ● Context analysis examines only metadata and other document properties, such as headers, sizes, and formats. ● Content Analysis- Analyzing a document's content to determine if it contains sensitive information Both of these solutions are incorporated into modern DLP solutions. DLP first examines a document's context to determine if it can be classified. Content awareness is then used to examine the document's content. Content awareness can take several forms: ● Rule-Based- By using rules or regular expressions, the content of a document can be analyzed, for instance, credit card numbers or social security numbers. Since it is easy to configure and process, this filter is very effective as an initial filter but is usually combined with other techniques. ● Dictionary- DLP solutions use dictionaries, taxonomies, and linguistic rules to identify concepts in unstructured data that indicate sensitive information. This step will require customization of the data. ● Creating an "exact match of the Data" - a fingerprint is made for the data and is searched against a database dump of the same data. Though this can affect the performance as it involves the creation of a data dump. ● File matching - created by generating a hash of the entire file and searching for files with the same hash. With the accuracy of this method, there is a downside too, and this method cannot be used for multiple versions. ● Document matching on a partial basis - can identify files with content that matches in part, for example, a form that two different users filled out. ● Statistical Analysis- Machine learning algorithms have been developed to use Bayesian analysis to identify content that violates a policy or contains sensitive information. Data Loss Prevention As A Service (DLPAAS) Many teams are involved in Data Loss Prevention, and all layers of technologies must be used to prevent data loss effectively. Experienced DLP integrators are necessary to implement these technologies effectively. Most DLP initiatives have failed due to poor planning, poorly executed deployments, and badly configured policies. Across all leading data protection vendors, we have decades of experience and knowledge. Our DLP service portfolio includes● Vendor-agnostic technology evaluation ● DLP Proof of Concept management ● Solution architecture and design ● Solution implementation and integration ● DLP program design and optimization The Benefits Of Data Loss Prevention (DLP) Tools like Data Loss Prevention (DLP) keep data secure at rest, in transit, and use and alert you if it's not protected adequately. Nevertheless, an organization with thousands of employees and millions of documents should expect to receive a significant volume of DLP alerts every day. Security operations teams can easily get overwhelmed by the flood of alerts. How do DLP and CASB work together? Cloud-based DLP solutions aren't always available. When an organization migrates data to the cloud, it should ensure that it follows the same security policies as to when the data was onpremise. Cloud Access Security Broker (CASB) can be effectively integrated with Data Loss Prevention (DLP) policies to extend DLP policies into the cloud. Cloud Access Security Brokers monitor traffic flowing in and out of the cloud and apply DLP policies to that data. Aurora's DLP Services DLP experts at Aurora are available to help with DLP services' implementation, monitoring, and troubleshooting. Data that is sensitive will first be defined and classified based on its level of sensitivity. Providing visibility into how data at rest and data in motion is moving and what controls are currently in place will be done by monitoring both. During our assessment of your current DLP, we will identify areas of improvement.