Data Loss Prevention Is A Set Of Tools And Processes Used To Protect Sensitive Data From Loss, Misuse, Or Unauthorized Access

 

Data Loss Prevention

Data protection is achieved using data loss prevention software. It can be used to spot potential theft, like Torjan horses that send private data outside the network. By offering common security software solutions, such as firewalls and intrusion detection systems, it also offers software solutions to monitor and block sensitive data, network traffic, or storage conditions (IDSs). For instance, firewalls can be used to keep private data safe from unauthorized access, and intrusion detection systems can be used to spot outsiders trying to break in.

Typically prompted by regulatory compliance with standards like HIPAA, PCI-DSS, or GDPR, DLP software categorises regulated, confidential, and business-critical data and identifies violations of policies defined by organisations or within a predefined policy pack. In order to stop end users from sharing data unintentionally or maliciously that could endanger the organisation, Data Loss Prevention enforces remediation once those violations have been found. This is done through alerts, encryption, and other protective measures. To protect data at rest, in motion, and in use, data loss prevention software and tools monitor and control endpoint activities, filter data streams on corporate networks, and monitor data in the cloud. Additionally, DLP offers reporting to satisfy compliance and auditing needs as well as pinpoint weak points and anomalies for forensics and incident response.

The Three Main Goals Of Data Loss Prevention—personal information protection and compliance, intellectual property (IP) protection, and data visibility—all address common pain points for many organisations.

·        Compliance with personal information protection laws: Does your company gather and keep personally identifiable information (PII), protected health information (PHI), or payment card data (PCI)? If so, you are probably subject to compliance rules like HIPAA (for PHI) and GDPR (for EU residents' personal data), which demand that you safeguard sensitive customer data.

·        IP Protection: Does your company possess significant intellectual property, trade secrets, or state secrets that, if lost or stolen, could jeopardise its financial stability and reputation? Intellectual property can be categorised in both structured and unstructured forms using DLP tools like Digital Guardian that employ context-based classification. You can prevent the unintentional exfiltration of this data by putting policies and controls in place.

·        Data visibility: Does your company want to have more insight into the flow of data? You can see and track your data on endpoints, networks, and the cloud with the aid of an all-inclusive enterprise DLP solution. This will give you insight into how particular employees within your company interact with the data.