Unfortunately, many organizations lack a clear idea of how to identify and track data across multiple systems, which involves detecting sensitive data in motion and at rest, thus data loss prevention and in particular protection of data from unauthorized accesses remain important goal of any data management system. Coupled with, based on solution type, the market can be fragmented into identity and access management, risk and compliance management, encryption and decryption, data loss prevention, unified threat management, firewall, antivirus and malware, intrusion detection, prevention system, infrastructure security and others.
The right administrative tools will also make it simple for data engineers and other data loss prevention stakeholders to control connections to the various databases (cloud, on-prem, etc.) and other data sources that a modern business needs to connect to in order to have a complete picture of the market and its customers, additionally, categorizing data based on type and content is an essential piece of the data protection puzzle. Not to mention, understanding akin activities gives you the ability to identify the right policies for protection or data loss prevention (DLP) to ensure your most important data is secure.
An effective data classification strategy should sit as a cornerstone of any modern security initiative, allowing businesses to quickly identify which data is most valuable to the organization and ensure it is safe at all times, dlp includes solutions that discover, protect, and control sensitive information found in data at rest, data in motion, and data in use, also, there are many different types of viruses and, often, data loss is just a side effect of some larger damage done to your operational system.
With the prevalence and damaging effects of data breaches, organizations now see digital asset protection as a critical component of security infrastructure, all types of data encryption are encompassed, ranging from data at rest to data in motion and even data in use within applications. To begin with, advanced deep scanning engines like data-loss prevention (DLP), intrusion detection, prevention services (IPS, IDS), and even device interrogation helps lock down an environment.
Identify your encryption requirements and policies for different data types, and whether you require cloud service providers to let you manage your own encryption keys, at a minimum, every organization must establish data security policies that include guidelines for file sharing. In addition to this, you use data loss prevention (DLP) rules to specify conditions to detect, actions to take, and any files to exclude from scanning.
Having a dlp in place is necessary, because it prevents data leaks that can cause damage, data security tools include identity and access management, data loss prevention (DLP), anti-malware and anti-virus, security information and event management (SIEM) and data masking software, for example, loss or theft of essential financial information can damage your organization reputation, lose the trust of organizations and lead to a significant reduction in employee productivity.
Your data loss prevention service provides a solid view of the type of personal and sensitive data flowing in and out of your network so you can upgrade information governance if required, information systems implement backup and disaster recovery equipment and processes to prevent data loss or restore lost data. To begin with, it is clear that confidential data leakage, whether malicious or unintentional, can cause serious damage to any organization.
And while power outages, natural disasters and equipment failures do lead to some data loss, akin instances make up only a small percentage of cases, most obviously, the loss of data may represent hundreds of hours of work or customer data that is essential to the smooth running of your organization, by the same token, should you experience data loss.
Want to check how your Data Loss Prevention Processes are performing? You don’t know what you don’t know. Find out with our Data Loss Prevention Self Assessment Toolkit: