Operations | Monitoring | ITSM | DevOps | Cloud

Controlling access to sensitive data is tough. Be too restrictive, and your employees run into too many roadblocks to do their jobs effectively. Too loose, and you are effectively guaranteeing that your organization will find itself on the front page as a victim of one of the many data breaches happening every day. That is why it is important to craft an effective data security strategy: one that relies on automation and oversight to ensure the privacy of your users’ data.

According to a recent global survey by Deloitte, 73%of respondents said their organizations have officially embarked on a path to adopting intelligent IT automation. That being said, only 26% of survey respondents that are piloting automations and 38% of those implementing and scaling actually have an enterprise-wide intelligent IT automation strategy. So, what’s standing in their way?

When working with CFEngine, it’s common to hear advice about separating data from policy. Separating data from policy allows for separation of concerns, delegation of responsibilities and integration with other tooling. Each organization is different, and a strategy that works well in one environment may not work as well in a similar environment of another organization, so CFEngine looks to provide various generic ways to leverage external data.