Success case of Mutualista Pichincha

Greater control of the information

Prevention of data leakage

Solid Base for initiatives IA

Success case of Mutualista Pichincha

Mutualista Pichincha strengthened the protection and government of your information by implementing advanced capabilities of Microsoft Purview. This initiative had as main purpose to improve the way in which the organization identifies, classifies, and protects and manages your data, especially those considered to be sensitive or critical to the operation of the business.

In an environment where companies handle large volumes of information through emails, collaborative platforms, cloud services, devices and corporate, to have a clear strategy of government data becomes essential. For Mutualista Pichincha, this project represented an important step toward an administration that is more safe, orderly and efficient of their digital assets.

The challenge: protecting critical information across multiple environments

One of the main challenges of the organization was to strengthen the control over the corporate information and reduce the risks related to exposure, loss or misuse of sensitive data. The information of a company is not located in one place; is constantly circulating between users, areas, systems, emails, shared documents and digital platforms.

This can actually generate significant challenges if there are no clear policies to classify, and protect data. Confidential documents, internal reports, financial information, customer data or files on strategic may end up sharing the wrong way if the organization does not have adequate control mechanisms.

For this reason, Mutualista Pichincha sought to strengthen their security capabilities, and government information, by implementing tools that enable it to have greater visibility on their data and apply protection policies in an automated fashion.

The solution: classification, labeling, and policies DLP

As part of the project, we implemented oriented capabilities to the automatic classification of data, the application of labels of confidentiality and the configuration of policies for the prevention of leakage of information, known as policies DLP.

The automatic classification allowed the identification of sensitive information within documents, emails and other digital resources. This facilitates the organization to be able to recognize what data requires more protection and what type of treatment should be applied according to their level of confidentiality.

Tags confidentiality helped to establish levels of protection more clear for documents and internal communications. In this way, users can work with classified information in accordance with its importance, while the organization maintains more control over how you share and uses that information.

In addition, policies DLP allowed to define rules to prevent sensitive data to be sent, shared, or stored in an unauthorised manner. These policies contribute to reduce the risk of information leakage, both by human errors as inappropriate practices in the management of corporate documents.

Greater control of the information

One of the most important benefits of the implementation was the most control over the information. The additional mechanisms of classification and protection, Mutualista Pichincha was able to improve the traceability and management of your data.

This means that the organization can better identify what information is sensitive, where it is located, who has access to it and under what conditions it may be shared. This level of control is fundamental to strengthening internal security, and to ensure that the data be used in a responsible manner.

The control of information, you also reduce the dependency on manual processes. Instead of relying only on each user to identify and protect properly the documents, the organization can build on policies, automated, which help to maintain a safety standard more consistent.

Prevention of data leakage

Another key aspect of the project was prevention of data leakage. In many organizations, the confidential information can get out of the corporate environment by carelessness, ignorance or a lack of adequate controls. An attachment sent to the incorrect recipient, a shared document publicly or sensitive information stored without restrictions can pose significant risks.

With the policies DLP implemented, Mutualista Pichincha account with an extra layer of protection to prevent this type of incidents. These policies allow you to detect sensitive information and implement control actions, such as alerts, blockages or restrictions, depending on the rules defined by the organization.

This helps to protect critical data across a variety of channels, including e-mail, cloud storage, and devices, and corporate. As a result, the company can reduce operational risks, strengthen their security posture and better protect the information of its customers, partners and internal processes.

A solid basis for initiatives of artificial intelligence

In addition to strengthening security and compliance, this project also represents an important basis for future initiatives of artificial intelligence. For an organization to adopt solutions of IA safely and effectively, you need to have information as well classified, governed and protected.

The artificial intelligence largely depends on the quality, availability and security of the data. If the information is unordered, duplicate, poorly classified or exposed without controls, any initiative of automation or AI may create additional hazards.

To implement a government strategy of information, Mutualista Pichincha moving towards a scenario where your data can be used more reliably. This opens the door to new opportunities for automation, advanced analysis, and adoption of smart technologies, while maintaining a responsible approach on the security of the information.

Impact on internal management

The Microsoft implementation Purview to improve the way in which the organization manages its digital assets. When applying labels, policies and controls, the equipment can work with greater clarity on the level of sensitivity of each document or communication.

This also contributes to creating an internal culture more aware about the importance of protecting the information. The technology not only acts as a control tool, but also as a support for users to adopt best practices in their daily work.

With a more structured the data, the organization can better respond to needs of audit, compliance, security and operational continuity. This strengthens the confidence in internal processes, and allows you to make decisions with greater support.

Results

With this project, Mutualista Pichincha managed to advance in three key areas: greater control of the information, data loss prevention, and preparation for future initiatives of artificial intelligence.

The greater control of the information to improve the identification and management of sensitive data. The prevention of leakage of data and helped to reduce risks associated with the sharing or unauthorized exposure of information. Finally, the construction of a solid foundation for AI allowed to prepare the organization to new scenarios of digital transformation.

These results show how an appropriate strategy of government and protection of data can generate value beyond security. It can also boost efficiency, improve the internal organization and enable new technological opportunities.

Conclusion

The case of a Mutualista Pichincha demonstrates the importance of having a solid strategy to protect and govern enterprise information. In a context where the data are one of the most important assets of any organization, to implement tools such as Microsoft Purview allows you to reduce risk, improve the control and preparing the company for the digital future.

Through the automatic classification, the labels of confidentiality and policies for the prevention of data leakage, the organization strengthened its ability to protect critical information in the mail, cloud, and devices. In addition, he established the basis of a more secure and orderly for future initiatives of artificial intelligence and automation.

This project is evidence that the digital transformation is not just about adopting new technologies, but in building a structure reliable to manage the information in a secure, intelligent, and sustainable.

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