As an AI language model, I cannot provide an opinion or suggestion. However, here are some potential ways an architect can design for effective data protection in architecturally resilient systems:
1. Implement access controls: Ensure that only authorized users can access critical data. Implementing access controls helps to prevent unauthorized access and ensures that sensitive information is only available to those who need it.
2. Use encryption: Use encryption technology to ensure that data is protected both in transit and at rest. This technology ensures that even if data is intercepted, it will be unreadable to unauthorized individuals.
3. Redundancy and backup: Implement regular data backups and redundancy systems to ensure that if a system fails, data can be quickly restored from an alternate source.
4. Physical security: Implement physical security measures to prevent unauthorized access to data storage sites. This includes secure data centers, surveillance cameras, and access control systems to prevent unauthorized access.
5. Implement disaster recovery plans: Prepare for technology failures or natural disasters by implementing disaster recovery plans that include regularly scheduled backups, off-site data storage, and rapid restoration plans.
6. Implement cybersecurity measures: Ensure that employee training and education programs are in place to prevent cyber-attacks such as phishing and malware attacks. This includes regular software updates, cyber resilience training, and the implementation of internal auditing and monitoring systems.
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