Strategizing Data Controls

In securing IT systems, data classification plays an important role. It helps to analyze organizational risks and thus helps to build an effective infrastructure for security. Organizations also need to ensure that their overall data strategy is reviewed periodically, including data collection, processing, archiving, backup and deletion.

The principle for achieving business agility will be to build business models with data. Implementing data environment threat intelligence will help prevent data thefts.

Without employee awareness, having a strong data privacy policy is incomplete. CIOs should ensure that employees are aware of the need to protect their own data. In addition, organizations should implement adequate controls on data protection, which can then be monitored on a regular basis through GRC tools, management reviews, and KPI.

Data is the true enabler for business; it should, therefore, be well understood and managed. The key is to have proper data control that enters, moves and leaves the business. Here are a few indicators for effective data control to keep in mind:

Best Practices: The W’s of data – This means being aware of what data to back up (inventory), when to back up (frequency), where to back up (offsite), and what tools to use for encryption.

Life cycle management: Awareness of what data will be collected, where it will be stored, with whom it will be shared, how long it will be stored and when it will be destroyed. Data minimization, dynamic data discovery, classification and IRM solution are some of the techniques for the same that are important and effective.

Impact on IT: Being aware of how the role of the IT leader changes as more and more systems and laws of data protection comes in. CIOs must carefully play the maker-checker card. Ensuring that gaps are mitigated per risk assessment audit should be the first priority.

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