All organizations today hold internal and/or external data that, in the blink of an eye, can be stolen and used fraudulently. While many organizations find themselves holding some of the most sensitive forms of data, many still struggle with the heavy responsibility that comes with acquiring, managing, and leveraging this data.
With data compliance regulations becoming progressively stricter and fines for non-compliance increasing annually, the biggest costs come in form of reputational damage, loss of revenue and customer trust, and business disruptions that can take years to recover from. With the risks becoming inherently more complex, non-compliance is no longer an option. Forward-thinking organizations are turning to technology solutions that combine data analytics to detect digital risk with workflows to map, assign, assess, and remediate actions for defensible compliance.
In this white paper, we discuss how organizations can improve their data compliance management by uncovering how to:
With data compliance regulations becoming progressively stricter and fines for non-compliance increasing annually, the biggest costs come in form of reputational damage, loss of revenue and customer trust, and business disruptions that can take years to recover from. With the risks becoming inherently more complex, non-compliance is no longer an option. Forward-thinking organizations are turning to technology solutions that combine data analytics to detect digital risk with workflows to map, assign, assess, and remediate actions for defensible compliance.
In this white paper, we discuss how organizations can improve their data compliance management by uncovering how to:
- Navigate through numerous confusing (and often frustrating) compliance requirements
- Assess the adequate coverage you need to enforce for your organization
- Collaborate with once-siloed business units to reduce disparate systems and inconsistent procedures
- Replace outdated testing processes with advanced solutions that deliver continuous monitoring and automated control testing
