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Data Security Standards And Some Best Practices

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By Author: Appsian
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Data Security: Standards and Some Best Practices

Data security is one of the most prominent concerns of modern enterprises. Owing to its importance, many data privacy laws have been enacted in many countries across the globe; many more are in the offing. These laws, comprehensive in nature, set the standards for enterprises in terms of ensuring data protection.

Data Security Standards

There is an increased amount of attention paid to data governance and legislation as emerging technologies impact our daily lives significantly.
Some of them need a special mention here:

The Health Insurance Portability and Accountability Act (HIPAA) :

It was supposed to modernize the flow of information related to healthcare. Compliance with HIPAA includes constant monitoring, access controls for need-to-know, and preservation of accurate activity records.

The Sarbanes-Oxley Act (SOX, 2002): It laid down auditing and financial standards for public corporations, including regular oversight and accurate reporting.

General Data Protection Regulation (GDPR) : After being introduced by the EU, the GDPR has received a considerable amount of industry attention. It has the objective of giving people more control over their personal information. GDPR encourages organizations to create transparent, intentional data governance plans, to abide by them, and to track their compliance continuously or else face heavy fines.

The California Consumer Privacy Act (CCPA) : It is a GDPR-inspired state statute that may be the precursor to a generic consumer data privacy legislation at the federal level. Via the CCPA, customers have the right to view, request the deletion of, and other rights to the personal data collected about them.

Data Security: Some Best Practices

Safe user authentication is a vital feature of data protection best practices, along with strong responsibility sightlines, which can be approached with the following procedures:

Single Sign-On: Users have the convenience of authenticating multiple applications and websites with one login, both in the cloud as well as behind the firewall with Single Sign-On (SSO). This reduces time and costs, making authentication systems highly important as well.

Multi-Factor Authentication : Evaluating the context of a login, Multi-Factor Authentication verifies the identity of a user and does not rely on passwords by requiring two or more credentials. Companies are using fewer but stronger factors for authentication. Applications offering such capabilities are gaining popularity over variables such as SMS, which are quickly deployed but easily compromised as well.

Passwordless Authentication : Passwordless authentication eliminates the risks associated with weak or compromised passwords by verifying the identities of users via email magic links, factor sequencing, etc.

Training : Inform the teams - whether it's spear-phishing emails or inappropriate data use practices - to protect the organization from common data protection threats. Have safety protocols and directions at hand.


In order to improve data security posture, cybersecurity tools and services need to be planned, installed, managed, and monitored. The goalposts are set by the cybersecurity guidelines, data regulations, and industry-specific considerations. Diligent testing and creativity ensure that your objectives are met.

By being proactive, applying strict controls, adhering to best practices, and staying compliant, organizations can continue to harness the power of data. Also, enterprises can consider implementing the latest data security solutions and analytics platforms that offer unique insights, visibility, and control over the entire spectrum of data management, including user behavior monitoring. That way, they can ensure data security as well as adhere to all data privacy guidelines.

More About the Author

Appsian One of the leading ERP data security,compliance,implementation solutions provider that gives organizations to complete control and visibility over their ERP data.

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