future data privacy

Understanding Data and The Future of Data Privacy for Enterprises!

Written by Balaji Swamy

| Mar 22, 2022

3 MIN READ

In just the last two years, organizations have been facing great pressure in embracing digital technologies especially as consumer expectations have constantly evolved. Data has played an integral role that has become essential for certain decisions, interactions and processes. This pervasiveness of data in all aspects of organization interactions has also created a need for data security & data privacy for enterprises. Let us look at understanding how organizations have managed data and built their trust.

How have organizations been handling their data-driven decisions?

Even with the proliferation of unstructured and real-time data coming from edge devices, social networking platforms, machine and system logs, data scientists still prefer interpreting data manually through structured manipulation in human-readable form, often resulting in duplication of information and error prone decisions.

Organizations must often choose between speed and data processing infrastructure, thus impeding the analysis and real-time decision-making abilities. This could potentially cause wastage of the source data however it’s collected whether from the edge, real-time or from social networks. 

While trends such as predictive systems and AI-driven automation are popular, many business problems are still being addressed through legacy approaches with no focus on the time consuming, due to factors such as cost, trained manpower, and availability of computing resources.  

In today’s world data security and privacy protections are often either insufficient or monolithic instead of respecting individual preferences. Organizations often adopt manual processes to provide secure data access to their employees and ecosystem players, thus making it a cumbersome and error-prone process. This also impacts recoverability from data accidents quickly and completely thus creating the risk of lengthy downtime and productivity loss. 

How will organizations handle data-driven decisions in the future?

In the future, data-driven culture will provide continuous performance improvement and create unique customer and employee experiences. Most organizations will apply data-driven approaches such as predictive systems and AI-driven automation, to improve their decision making. By the year 2025, it is predicted that most employees will naturally and regularly leverage data for supporting their work and with innovative data management techniques that can help in resolving challenges in compressed time frames.

From simply automating basic day-to-day activities and regularly occurring decisions, organizations will help in making better overall decisions. Through innovation, collaboration and communication employees will be able to focus on more important decisions. 

In 2025, with more organizations recognizing the need for data privacy, security and ethical data practices, we will see more adoption of GDPR and other local flavours of privacy protection and governance models. With more awareness and high stakes of security incidents, data safety and security will be valued more and automated systems will be introduced for provisioning and governance. Thus, organizations will start trusting their data and their ability to manage it, giving rise to more data-driven services.

How can HashiCorp help in improving data privacy for enterprises?

HashiCorp has been in the business of enabling infrastructure innovation by delivering consistent workflows for provisioning, securing, connecting and running the infrastructure of any application. Hashicorp provides tools for controlling each layer of the cloud thus enabling easier adoption and management of the cloud operating model for organizations that are keen to have a cloud presence.

HashiCorp addresses data privacy and security through its Vault product, which essentially has two features:

  1. Secrets Management
  2. Data Encryption

Secrets Management:

Secret Management allows organizations to centrally store, access and distribute secrets and reduce secret sprawl across the organization. Vault centrally manages and enforces access to secrets and systems based on trusted sources of application and user identity.

Data Encryption:

The Data Encryption feature of Vault,  allows organizations to protect sensitive data with centralized key management and simple APIs for data encryption, across clouds and private data centres. This functionality is available and offered as a service for both data addressed and in transit. 

What are the benefits of using HashiCorp?

HashiCorp has been used by global organizations that are great for provisioning, securing, connecting and running applications in the environment. Here are some of the benefits of Ashnik’s HashiCorp offerings which are:

  • Independent and unbiased insights for better and smarter decision making 
  • Design and architecture skills in addressing the current and future needs
  • Deployment and integration expertise in simplifying the complexities
  • Operational support for you to be at ease 
  • Automation in addressing a rapidly scaling landscape

Conclusion:

It is important for organizations to plan early about their data security and privacy requirements that are resilient and scalable as organizations grow. This would require collaboration between business strategists, technical architects, suitable technology advisors and platform providers. 

Looking for help?

Reach out to Ashnik – a regional HashiCorp solution provider.  For more information about HashiCorp pricing, services and support feel free to get in touch with us! Our team of experts would be happy to connect with you to understand your requirements.

Ashnik is a leading enterprise open source solutions company in Southeast Asia and India, enabling organizations to adopt open source for their digital transformation goals. Ashnik is a certified HashiCorp service provider and can help you in all stages of incorporation from consulting to implementation of HashiCorp.


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