Regarding security and cybersecurity, "data protection" refers to the procedures and policies to secure private information against unauthorized access, disclosure, change, and destruction. The primary goal of data protection is to guarantee the availability, confidentiality, and integrity of data during its entire lifecycle. It includes all aspects of data processing, storage, and transportation. Key components of data protection in the cybersecurity landscape include:

Encryption: Employing encryption algorithms to transform data into an unreadable secure format without the appropriate decryption keys. It helps protect sensitive information in case of unauthorized access or data breaches.

Access Controls: putting policies in place to control and limit user roles and permission-based access to data. It guarantees that authorized people or systems can only access certain information.

Data Backup and Recovery: Regularly backing up critical data and establishing robust recovery processes to mitigate the impact of data loss due to accidental deletion, hardware failure, or cyberattacks.

Data Classification: putting in place suitable security measures and classifying data according to its sensitivity. It enables businesses to order their protection efforts according to the significance of various data kinds.

Data Masking and Anonymization: Concealing specific elements of sensitive data to protect privacy and comply with regulations. Data masking involves replacing original data with fictional or pseudonymous data for non-production environments.

Data Loss Prevention (DLP): Deploying solutions to monitor, detect, and prevent unauthorized transmission or exfiltration of sensitive data. DLP technologies can enforce policies to block or encrypt data leaving the organization.

Security Awareness Training: To lower the likelihood of security incidents involving people, staff should be trained on the significance of data protection, security regulations, and the safe management of sensitive information.

Endpoint Security: Put security measures on computers, laptops, and mobile devices to guard against malware and illegal access to the data processed and stored on these endpoints.

Network Security: Employing measures like firewalls and intrusion detection/prevention systems to protect data during transmission over networks, both internal and external.

Incident Response and Monitoring: In-place procedures to quickly identify and address security events to reduce the effect of possible data breaches.

Data protection is essential to protect organizations against data breaches, which can result in financial losses, legal repercussions, and harm to their reputation. As data becomes an increasingly valuable asset, robust data protection practices are essential for maintaining trust, compliance with regulations, and overall cybersecurity resilience.

The ThreatNG all-in-one solution significantly reinforces Data Protection by seamlessly integrating External Attack Surface Management (EASM), Digital Risk Protection (DRP), and Security Ratings. Through a comprehensive examination of the organization's external digital footprint, ThreatNG identifies potential threats and vulnerabilities that could impact data security. This solution complements existing data protection measures by providing valuable insights into external risks and facilitating a smooth exchange of critical intelligence. For instance, ThreatNG can identify external attack vectors targeting sensitive data, enabling a refined access control strategy within existing Data Protection solutions. Moreover, Security Ratings from ThreatNG contribute to continuous improvement by offering a holistic view of the organization's external data protection posture, aligning seamlessly with existing data classification and incident response efforts to enhance overall data resilience and compliance.