Data Protection Measures to Secure Personal Information
Effective data protection measures include encryption, secure storage, access controls, and regular monitoring to protect personal information from unauthorized access.
Access Control in Data Protection
By regulating and limiting who may access sensitive information and what actions they can take on it, access control plays a critical role in data protection. developing user roles and permissions, and keeping an eye on access logs are all part of this process.
Data Loss Prevention Techniques
By detecting, monitoring, and blocking sensitive data at various phases of the data lifecycle, data loss prevention (DLP) strategies seek to detect and stop sensitive data from being lost, stolen, Network Security, and routine monitoring are some of them.
The Personal Data Protection Act (PDPA)
A national legislation that controls the gathering, processing, and dissemination of personal data, usually with the aim of preserving peoples' right to privacy. It lays forth guidelines for how businesses should handle personal data, including getting consent, guaranteeing data accuracy, and putting in place suitable security measures.
The General Data Protection Regulation (GDPR) to you
European Union (EU) rule, went into force on May 25, 2018. All EU citizens' data protection is strengthened and unified as a result. It takes the role of the 1995 Data Protection Directive and is applicable to all businesses that process the personal data of EU residents, The GDPR sets stringent new regulations on businesses that handle personal data while bolstering individual rights.
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Effective data protection measures include encryption, secure storage, access controls, and regular monitoring to protect personal information from unauthorized access. At the same time, organizations must comply with various data protection regulations such as the General Data Protection Regulation (GDPR) and Personal Data Protection Act (PDPA) that strengthens and unifies data protection for all individuals within the EU and specific country respectively. It sets out rules for how organizations should handle personal data, including obtaining consent, ensuring data accuracy, and implementing appropriate security measures. Data Loss Prevention (DLP) techniques are also used to detect and prevent sensitive data from being lost, stolen or leaked.
Ensuring the Confidentiality and Integrity of Sensitive Data
Cloud Security and Data Protection
Data security and protection in the cloud refers to the steps taken to safeguard data that is handled and stored there. To safeguard sensitive data from unauthorized access or breaches, it involves protecting access to the cloud infrastructure,
Data Loss Prevention Techniques
By detecting, monitoring, and blocking sensitive data at various phases of the data lifecycle, data loss prevention (DLP) strategies seek to detect and stop sensitive data from being lost, To avoid sensitive data loss and to maintain the data's security,and frequent monitoring.
Internet of Things (IoT) Security
The term "Internet of Things (IoT) Security" describes the precautions taken to guard against unwanted access, data breaches, and cyberattacks on connected devices and the data they gather and communicate. this entails developing secure communication protocols, device authentication, and frequent software upgrades.
Data Backup and Recovery
The act of duplicating and storing data in a secure location to guard against data loss due to hardware failure, user mistake, companies must regularly backup their data, test their recovery plans, and update them.