PII Data security
Safeguard Personal Information
Using data protection frameworks
Our Proposal
Infosec Future ensures that all sensitive PII data within the organization remains secure and untouched by data breaches.
PII data consists of personal information of the organization’s employees or customers. This information is valuable to attackers and therefore needs to be secured. Infosec Future secures your data using state-of-the-art security technological processes so that the data can remain uncompromised.
Challenges
Our solutions
PII compliance on a global level.
It can be challenging to keep up with globally imposed PII legislation in different areas. Infosec Future can help your organization meet worldwide PII compliance terms.
Data access and monitoring.
Infosec Future develops PII protection policies and provides employee training to handle sensitive PII data. Access monitoring software ensures that data is accessed only by authorized employees and users.
Assessment
Assessments help in determining the storage and disposal of information, as well as marking potential security threats.
Our Services:
Infosec Future’s PII security controls enable you to manage and prevent loss of data.
Auditing changes
Track, change and configure access to data and assets.we conducts a cybersecurity audit that will be able to assess whether or not they have the proper security mechanisms in place while also making sure they are in compliance with relevant regulations,according to SecurityScorecard
Prevent data loss
Implement our state-of-the-art systems to track sensitive data and prevent data loss.We enhance basic data breach prevention techniques you can use to reduce the risk of common security threats.
Data masking
Mask sensitive details while storing or transmitting data.Infosec-Future advanced technique used to create a version of data that looks structurally similar to the original but hides sensitive information. The version with the masked information can then be used for various purposes, such as user training or software testing. The main objective of masking data is to create a functional substitute that does not reveal the real data.
