Mitigate risks by conducting a thorough security audit, ensuring encryption during data transfer, and applying stringent access controls. Establish a data integration plan that addresses potential vulnerabilities, adheres to compliance regulations, and includes continuous monitoring post-merger.

Data Tokenization: - Replace sensitive data elements with unique, meaningless tokens derived from a robust tokenization algorithm that is difficult to reverse. Data Anonymization: - Remove or mask personally identifiable information (PII) to make data less sensitive. - Ensure that anonymization does not compromise the data's utility for analysis. Combine Tokenization and Anonymization: - For maximum protection, apply both techniques to different data elements. Review and Update: - Periodically assess the effectiveness of tokenization and anonymization strategies. - Update tech. as needed to address new security threats and technological advancements. - Ensure tokenization and anonymization processes align with regulatory requirements.

To safeguard sensitive data post-acquisition, start by classifying and inventorying the data. Apply encryption for data at rest and in transit, use role-based access controls, and ensure compliance with relevant regulations like GDPR. Implement data masking and anonymization where necessary, and establish secure channels for integration. Conduct security audits, risk assessments, and regular monitoring. Manage third-party risks by reviewing their security practices, and develop a robust incident response plan. Lastly, train employees to handle data securely during the transition.