Data Foresight Remediation

Data remediation is the process of identifying, correcting, and removing inaccurate, outdated, or non-compliant data from the organization’s data repositories. It ensures that the data is accurate, secure, and aligned with industry regulations such as DPDP, GDPR, CCPA, and HIPAA.

The Importance of Data Remediation

Compliance with Regulations

As data protection laws become stricter, ensuring data is compliant can help avoid hefty fines and penalties. Data remediation ensures that sensitive information is stored, accessed, and used correctly.

Enhanced Data Quality

Poor-quality data leads to poor decision-making. Data remediation helps to clean up data by removing duplicates, fixing inaccuracies, and updating outdated information, leading to more reliable insights.

Risk Mitigation

By removing unnecessary or improperly stored data, organizations can reduce the risk of data breaches, unauthorized access, and other security vulnerabilities.

Operational Efficiency

Cleaning and organizing your data reduces system clutter, optimizes storage costs, and improves performance. This enables smoother data access and faster response times.

It’s a data file that does not contain any sensitive, confidential, or classified information, and is therefore not subject to any security restrictions or special handling requirements. Unclassified files might include items such as publicly available reports, marketing materials, non-sensitive company policies, or general communications within an organization.

Classified files refer data that are deemed sensitive and restricted due to their potential impact on national security, corporate operations, or privacy if accessed by unauthorized individuals. The term is commonly used in government, military, and large organizations to label information that requires a higher level of protection and limited access based on a security clearance or specific permissions.

Unencrypted data, also known as plain text or clear text, refers to information that is stored or transmitted without any form of encryption or protection. This means the data is in a readable, accessible format, and anyone who gains access to it can easily view and understand it without needing a decryption key

File with Encrypted Data after patching using Data Foresight Tool

Unmasked data refers to sensitive or personally identifiable information (PII) that is displayed or stored in its original, unaltered form. This type of data has not undergone any techniques, such as masking, encryption, or anonymization, to protect its privacy or security. Unmasked data is vulnerable to unauthorized access and can lead to significant privacy risks, including data breaches, identity theft, and non-compliance with data protection regulations like DPDP, GDPR, HIPAA, or CCPA. Masking or protecting sensitive data is essential for maintaining privacy and ensuring regulatory compliance.

File with masking Data after patching using Data Foresight Tool

Data deletion is the process of permanently removing data from an your systems, ensuring that it is no longer accessible or recoverable. Unlike data archiving, where data is stored but still retrievable, data deletion is intended to completely erase information to comply with regulatory requirements, protect sensitive information, or free up storage space.

File after deletion action using Data Foresight Tool

It ensures the secure and permanent removal of sensitive data from the system, preventing unauthorized recovery or access. This process is vital for maintaining data privacy, compliance, and reducing the risk of data breaches.

It ensures that sensitive data is securely moved to a highly protected, encrypted storage environment, limiting access to authorized users only. This process enhances data security by isolating critical information, helping organizations maintain compliance and reduce the risk of data breaches.