What is DSPM?
A term that stands synonymous with data security is DSPM-Data Security Posture Management which protects from any unauthorized access, misuse, or theft of personal and PII data.
Scope of DSPM
It covers aspects like security Risk assessment, Data Vulnerability Identification, Mitigating risks by implementing controls, Continuous monitoring, Updating, and Refining all the security measures. It focuses on multi-cloud environments where sensitive information is stored. This sensitive information can vary from industry to industry and organization to organization, information which they define as sensitive. For instance, for the health and insurance industry PHI, i.e. Personal Health Information is sensitive information, likewise, PII, Personally Identifiable Information, etc.
DSPM is the choice of today. In the changing scenarios where there is vulnerability all around us and devices and applications sharing data across different networks using API’s , data security is at very high risk, and organizations’ dependency on innovative and promising ways of securing sensitive information is of great concern. Here DSPM plays a pivotal role.
Life Cycle of DSPM
DSPM is a process to ensure the data is secure at all stages of the data lifecycle . There are various stages of the lifecycle:
- Discovery
- Classification
- Risk Identification.
- Mitigation
Discovery – Data Discovery is the first step of the DSPM process. Identifying relevant data sets across the infra , applications, endpoints , api’s are all critical concepts of data discovery. Effective planning and mechanisms are critical steps towards effective data discovery process.
Classification – Data Classifications and categorization is another step post data discovery. In privacy terms categorization like sensitive , private, personal , secret or any other tags that can accurately classify data.
Risk Identification – Post classification, defining the risk identification marks the third step towards the Data Security. Risk identification process should factor the data type, it’s relevance , classification and possibility of breach exposure to arrive at a complete risk classification. This process has to be designed keeping in view the impact of data breach and it’s exposure challenges for the organizations.
Mitigation – Risk Mitigation is a management strategy with complete planning to manage the risks and accurately plan for mitigation. Successful mitigation may lead to more secure and compliance atmosphere. Organization should identify all means like tracking, ticketing and continuous monitoring to ensure all mitigation steps are being followed and results are achieved.
To aid DSPM, few more measures are critical w.r.t users rights and their data being secured.
Users Consent for their data processing and mechanisms used for data processing is very important to notify. Apart from obtaining users consent, users rights are also important to manage and measure.
Consent Management and Rights Management
Consent management is a process that defines how an organization uses customer data and it also demarcates what information can be used.
GDPR has made it mandatory for organizations. This helps to filter out sensitive information that is seen as personal to the individual and can be capped.
Consent Management helps organizations maintain the consent of the users and make informed decisions. It can help you manage consent as required by privacy regulations like GDPR , CCPA, and other Data Protection Acts.
DataForesight: The right choice
There are four stages of data security: DataForesight discovers your sensitive data, then it patches it. It blocks websites to prevent data leakages and finally restricts file transfer to emails and other websites.
The best choice for DSPM is DataForesight. It is a privacy-focused solution that can discover data on the most discoverable platforms. Data can be categorized with the help of pre-defined and custom tags that helpan organization find sensitive and private data and also provide options to patch the data at the host level.
DataForesight is built on AI/Machine Learning and Regex Patterns to identify and find the relevant data. Customers can select from the three modules available i.e. Scanning, Patching, and Integration, or select all based the organizational needs. This is a completely safe solution for data protection and a very reliable one too. It is a completely on-premise solution hosted within the organization. Any patches released are being provided to organizations in a secure manner over OEM drives not accessible to the public.
DataForesight is a tool that complies to both Right Management and Consent Management and allows to mask the information that is seen as private to the customer.
Therefore Dataforesight is the right choice.