Example input
Target audience: Healthcare providers
Data protection objectives: Protecting patient data and ensuring regulatory compliance
Main cloud services in use: AWS for data storage, Google Workspace for communication
Example output
Based on the provided information, here is a custom data protection strategy for your healthcare company:
Data Classification and Inventory: Continually classify and inventory the data to maintain visibility into what data is stored in the cloud. Tools like AWS Macie can help in data discovery and classification.
Adopt a Multi-cloud strategy: It can be beneficial to distribute your data across multiple cloud providers to reduce the risk of a single point of failure. Given your consideration to switch to Microsoft Azure, it may be worth diversifying your data storage across both AWS and Azure, with proper data management strategies in place.
Implement a Zero Trust Architecture: Implementing a Zero Trust architecture ensures that every access request is fully authenticated, authorized, and encrypted before granting access, regardless of location or IP address.
Encryption & Key Management: Continue to encrypt sensitive data both at rest and in transit. Consider using AWS Key Management Service (KMS) for creating and managing cryptographic keys and controlling their use across a wide range of AWS services.
Access Controls & Identity Management: Implement least privilege access controls to minimize exposure of sensitive information. Use Identity and Access Management (IAM) solutions like AWS IAM and Google Workspace's IAM.
Security Training & Awareness: Given the past minor breach due to phishing, it's crucial to provide regular security training to your staff. Focus on cybersecurity best practices and how to avoid common threats like phishing attacks.
Monitor and Audit: Regularly monitor and audit access logs and activities on the cloud. This helps to identify potential anomalies or insider threats. Cloud providers offer services like AWS CloudTrail and Azure Monitor that you can utilize for this purpose.
Data Loss Prevention (DLP): Continue using DLP tools like Symantec to prevent data breaches by detecting potential data breaches/leaks and preventing them by monitoring, detecting and blocking sensitive data.
Incident Response Plan: Establish a well-defined incident response plan. This should include steps to identify, contain, eradicate, and recover from a security incident, and how to manage communications and legal obligations.
Regular Compliance Checks & Updates: Since your company needs to comply with regulations like HIPAA and GDPR, it's crucial to perform regular compliance checks. AWS and Azure offer compliance monitoring tools like AWS Artifact and Azure Policy.
Vendor Risk Management: Ensure that any third-party software or services used by the organization are also in compliance with the necessary regulations and have appropriate security measures in place.
Remember, protecting data in the cloud requires a multi-faceted approach, and it's essential to review and update your strategies regularly to address evolving threats and changes in the data protection landscape.