How Organizations Can Ensure Data Privacy Framework with Data Protection

How Organizations Can Ensure Data Privacy Framework with Data Protection

Data protection has become key as the attack surface and compliance requirements increase in the digitally driven environment.

Today, data is a crucial asset that any organization must safeguard at all times. Regulatory bodies have imposed stringent data privacy requirements that businesses must follow. Organizations must adhere to various data privacy standards to comply with the law and meet their needs.

Malicious cyberattacks on essential infrastructure have increased. Many firms face security difficulties due to the migration of remote workers. Businesses with most employees working from home had much higher network security breaches.

Organizations can take the following essential measures to establish a viable data privacy framework and achieve adequate data security:

Recognize business data

Every organization generates a significant amount of data daily, and it evolves with time. Users can create folders and transfer archived material around. Applications become, SaaS is embraced, and users create new folders and relocate archived data. An organization must comprehend its entire data footprint, including remote locations and multi-cloud deployments. Access and security restrictions for data should be applied consistently across data footprints. Knowing which data is crucial to the business and where it is currently stored enables the backup administrator to ensure its protection.

Also Read: Data Protection Day in 2022: What to Expect in the year ahead?

Backup and safeguard company data

Data backup is a critical step in data protection. Businesses should maintain a robust data security solution that identifies essential data assets and enables disaster recovery. Nevertheless, backups are not impervious to ransomware, unintentional deletion, or other types of data loss. Ascertain that at least one copy of the backup is stored offsite and safeguarded from any potential workplace calamity. When both the original and backup data are physically kept in the same location, the data security system turns out to be a single point of failure.

Protect email and prevent credential loss

Organizations of all sizes, large and small, must prioritize data protection investments from the start of commercial operations. Today, the majority of cyberattacks begin with an email. Numerous attacks leverage social engineering techniques to circumvent regular email gateways and attempt to collect credentials and personal data. A complete email protection solution powered by artificial intelligence is necessary to stay ahead of fraudsters and prevent the company and personal data from being compromised by email-borne threats such as ransomware and Business Email Compromise (BEC). Additionally, businesses should train their employees on email security awareness frequently.

Secure applications and access

Application threats are also increasingly complicated and are vulnerable to various automated attacks, including DDoS, credential stuffing, OWASP, and zero-day attacks. Businesses should secure all SaaS applications and infrastructure access points via web application security. Along with program protection, they should consider limiting users’ access to the bare minimum necessary for productivity. It is recommended to deploy Zero Trust Access based on the security postures of endpoints.

Also Read: Bairong Inc. Reinforces Data Privacy Prevention with Its Latest Patent

Data privacy with Design

Any technology, business process, product, or service committed to providing a secure environment for personal data must design and operate with data privacy throughout its lifecycle. This can be accomplished by using cloud storage, the engagement of third-party experts for IT security, and the deployment of SaaS applications.

Compliance with data privacy regulations cannot be delegated to legal and compliance teams alone. To comply with data privacy regulations, everyone in the organization must understand their responsibility to secure data. As a result, organizations must prioritize their data security framework.

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