What is a recommended best practice for scheduling Recommendation Scans in Deep Security?

Scheduling Recommendation Scans in Deep Security is a crucial aspect of maintaining security and operational efficiency within an organization. Opting to schedule scans based on the type of server and the frequency of changes is a best practice because it allows for a tailored approach that aligns security measures with the actual operational environment of the IT infrastructure.

Different servers have varying roles and may undergo different levels of change. For instance, a web server may be updated frequently to deploy new content, while a backup server might have less frequent updates. By scheduling scans according to the specific needs and characteristics of each server type, you can ensure that scans are conducted at optimal times, which mitigates performance impacts and avoids unnecessary resource consumption.

This practice fosters a more efficient scanning process, as it allows for more regular scans on servers that are subject to rapid changes and less frequent scans for those that are stable. Additionally, it reduces the risk of scanning conflicts during peak user activity times, which could lead to degraded system performance and a negative impact on user experience and productivity.

In contrast, scheduling all scans on the same day may lead to resource contention and performance bottlenecks. Limiting the number of machines to 10 per group could be impractical in larger environments and is not a universally applicable strategy