man using data minimization at computerToday organizations collect and retain vast amounts of data including sensitive or personal data. Exposure of highly sensitive data presents financial and reputational risks universally understood across business and government. Privacy officers and Compliance Managers need an effective strategy to address these risks and meet privacy regulations. Addressing unauthorized access is only one part of the solution; reducing available data for access is critical. It is vital to assess critical data assets and design a data-centric security architecture to make your organization resilient to common attacks. Implementing effective data minimization and elimination procedures.

The core of Ardent solution is data minimization because excess data is a huge liability if breached. History has proved that having excess sensitive data increases your liability. We help reduce unwanted or excess data footprint to make you compliant and resilient at the same time in case you are breached.

What is Data Minimization?

Data minimization is the limitation of personal information collection and storage to only what your business specifically needs to accomplish its purposes. This is a requirement in GDPR as well and best practice for business.

Data minimization or minification involves reducing your risk through the process of identifying excess data(focussing on sensitive data) and keeping only that data that is relevant. At the same time, data that is identified as non-relevant is discarded or secure-deleted through an advanced process of sanitation.

Data Minimization using Intelligent Data Risk Stratification

Ardent solution uses exclusive data risk stratification process to minimize data which involves the following three steps

 

  • Data discovery, mapping, and Identification:

 

The software aims at identifying existing data inventory across the varied types of storage locations, e.g., cloud, on-prem, structured, and unstructured without affecting regular data usage. Such a type of data mapping is shown through a graphic visualization(heat map) which provides you decisions point on sensitive and excess data.

 

  • Data type identification:

 

The data is passed through an advanced AI filter that identifies and divides data into a broad spectrum of risk and non-Risk Data. A machine learning-based module predicts the likelihood of a query file being as high Vs. Low-risk data file at very high speed. 

 

  • Data minimization:

 

Data files with higher risk would undergo remediation process. Remediation can be various options such as secure deletion, move/archive data to secure location or encrypt data. Secure deletion is the best option for getting rid of excess data, but it is not always possible as data can be owned by different stakeholders and needs detailed validation. Ardent solution provides various options like moving data to a temporary location, delay that process to provide data owners time to respond and validate data. End of process solutions will reduce sensitive data footprint and reduce organizational risk.

Benefits of Data Minimization

Ardent solution helps you identify Data at Risk. It will also sanitize data and help meet various compliance requirements for CCPA, GDPR & FISMA.  Process will 

  1. Reduce Financial Liability
  2. Increase Business Credibility.
  3. Offer protection from Data Breaches & Leakages.
  4. Comply with various legal requirements.
  5. Reduce Storage and Management Costs
  6. Will also reduce business liability in case you are breached 
  7. Reduce supply chain risk by eliminating excess data on the cloud and with third parties

Contact Ardent today to start minimizing your data and get ready for GDPR, CCPA or FISMA privacy compliance.