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AI – Data Privacy
A comprehensive approach that incorporates the below practices is needed. They are : Data Anonymization Remove personally identifiable information from datasets so individuals cannot be readily identified and apply data masking and tokenization. Encryption Encrypt data using encryption protocols (e.Read more
A comprehensive approach that incorporates the below practices is needed. They are :
Remove personally identifiable information from datasets so individuals cannot be readily identified and apply data masking and tokenization.
Encrypt data using encryption protocols (e.g., TLS/SSL) to protect it from unauthorized access.
The incident response plan is regularly tested through simulations and test drills.
By implementing these best practices, they can ensure compliance and maintain the trust of their stakeholders.
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Advanced Persistent Threats (APTs) are cyber threats that often target specific organizations or industries. Some AI-driven solutions are: Behavioral Analytics AI uses machine learning to model the behavior of users and entities and detect anomalies, such as unusual login times. The compromised endpRead more
Advanced Persistent Threats (APTs) are cyber threats that often target specific organizations or industries. Some AI-driven solutions are:
AI uses machine learning to model the behavior of users and entities and detect anomalies, such as unusual login times. The compromised endpoints are isolated and malicious files are removed. Also, it monitors the network traffic for unexpected data theft.
AI models, such as deep learning and reinforcement learning, can identify polymorphic malware, which changes its code to avoid detection.
Security Information and Event Management (SIEM) identify complex attack patterns and automate incident response.
For maximum effectiveness, these AI-driven solutions should be integrated into a comprehensive security strategy.
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