Regulatory compliance and data privacy regulations have raised the bar for companies to assure that data is protected whilst at the same time knowledge workers need access to data to do their jobs effectively. This requires a comprehensive, granular approach that is manageable at the same time.

Cyber-attacks using ransomware are more common then ever before. So you have to safeguard your organisation from reputational or financial damage caused by a ransomware incident and ensure that your most valuable data is kept secure from any malicious activity. You do not only have to protect access to your systems, but also must protect the actual data itself.

Sharing with third-parties, other systems, and in-house partners introduces new challenges for safeguarding sensitive data. Organisations are struggling to share data with confidence. The data flows in a large variety of directions, is used by many different people, organisations and systems.

Data warehouses and data lakes contain massive volumes of data that not only individuals but also machine personas have access to. Sensitive information needs to be identified and access to it needs to be controlled and restricted. At the same time you need to provide your users timely access to data to gain key insights that contribute to your effectiveness and bottom line.

You protect your data against unauthorized access to your systems, but you also need to protect sensitive data agains internal people that have access to this data. Traditionally this is a challenge. Access to data, which may include sensitive data, is needed to perform tasks, like data analysis, systems management etc.