7. Deploying user behavior analysis

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6. Implementing an account verification process
Implement authentication for privileged and administrative accounts that requires a two-part approval process with review of justification and the ability to automatically expire accounts after a specified period of time.

Create custom models using UEBA behavioral analysis systems. These will serve as early warning systems: if you lose control over endpoints, you will be able to detect an attack based on deviations from these basic behavior patterns and access patterns.

8. Use Machine Learning in the SOAR Process
Similar to the above, if you start generating baseline models of user and entity activity, you can begin to intelligently enrich your data, allowing you to begin applying machine learning to security technologies and controls through what’s known as security orchestration, automation, and response (SOAR). Instead of relying on a human bangladesh whatsapp data to identify potential incidents, solutions can be used that provide an automated approach to managing repetitive and mundane tasks. This allows analysts to focus on more complex security issues and investigations. SOAR technologies provide scalability and speed for organizations that struggle to manually identify and respond to threats.

9. Non-destructive testing
Finally, a non-destructive social engineering testing program is a good way to test employees against phishing and other social engineering techniques. Ensure that end-user profiles contain all the necessary information about what access rights they have to what assets and data. Knowing what could potentially be compromised if an end-user is compromised can provide insight into what rights should be granted and to whom. Some users may require unique access rights based on their business processes and technical capabilities, while other users may not have access to critical information or processes.