Solutions Overview
From capture to governance, InfoConnect helps you streamline document workflows, automate processes, and deliver trusted information across your organisation—securely and at scale.
From capture to governance, InfoConnect helps you streamline document workflows, automate processes, and deliver trusted information across your organisation—securely and at scale.
From capture to governance, InfoConnect helps you streamline document workflows, automate processes, and deliver trusted information across your organisation—securely and at scale.
See how organisations streamline document workflows, strengthen governance, and improve operational efficiency with InfoConnect.
We work with technology and service partners to deliver scalable, secure solutions—combining expertise in information management, workflow automation, and enterprise integration.
Practical insights on document management, workflow automation, e-Invoicing, governance, and industry trends—written for teams modernising enterprise operations.
Join live sessions and on-demand webinars to see real use cases, product walkthroughs, and best practices from InfoConnect experts and partners.
Build capability with structured training programs—designed for teams adopting document, workflow, and governance solutions at scale.
Download concise, practical guides to help you plan, evaluate, and implement enterprise information management and automation—backed by proven frameworks.
InfoConnect, established in 1994, is a Malaysia-based information management and automation solutions provider—helping organisations capture, manage, secure, and deliver critical information with greater efficiency and governance.
Thank you for your interest in InfoConnect as a platform for your employment opportunities. We are currently searching for talented individuals to join our ever growing family.
Tell us what you’re trying to improve—document management, workflow automation, e-Invoicing, analytics, or governance. Our team will respond within 1 business day.
Data Masking is an essential technique for ensuring that sensitive information within a database is safeguarded, while still preserving the usability of data for authorized operations. Data masking focuses on protecting personally identifiable information (PII), financial details, and other confidential data, ensuring compliance with privacy regulations and internal governance policies. It involves a systematic approach to anonymizing and obfuscating data using strategies such as substitution, shuffling, or encryption. By transforming real data into fictitious yet realistic values, data masking ensures that sensitive information is not exposed during testing, analytics, or data sharing. Through this approach, organizations can balance data utility and security, enabling safer data handling across development, testing, and business processes.
Common data masking approaches include:
Static Data Masking (SDM): Involves creating a masked copy of the original data in non-production environments.
Dynamic Data Masking (DDM): Dynamically hides sensitive data at query time based on user roles or permissions without modifying the original database. Users only see masked values.
Sensitive production data is often used in non-production environments, which typically lack the same security measures, making them a common source of data leaks.
External vendors, consultants, or partners might need access to internal data. Without adequate protection, sensitive data can be inadvertently exposed.
Legitimate users, such as employees or administrators, may accidentally or maliciously access and expose sensitive data that falls outside their business needs, putting confidential business data at risk.
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Protects sensitive data by substituting it with masked values, minimizing risk in case of unauthorized access.
02
Helps meet privacy standards such as GDPR, PDPA by masking sensitive information fields.
03
Limits the visibility of sensitive data, reducing the risk of accidental or intentional exposure by internal users.
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Enables safe use of data in development, testing, and analytics environments without revealing actual sensitive information.
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