Data Classification Take 30: The Cornerstone Of Regulatory Compliance

Presented by

Mahesh Shanmugasundaram

About this talk

Achieving compliance across a wealth of new international data privacy laws and regulations is the benchmark for effective cybersecurity. But inevitably it is a growing challenge, with many organisations struggling to keep pace. Significant numbers of organisations still have either not yet invested, or taken the right steps, to build a secure infrastructure to help fulfil compliance obligations. There has, therefore, never been a more important time to take the road towards compliance seriously, particularly in light of the global COVID-19 pandemic, where remote working is now at an all-time high. Senior Analyst at Forrester, Enza Iannoppolo said recently when asked what mix of technologies she saw as being the optimum for a strong data protection stance “Gaining a good understanding of where data is and what it is that requires protection it is very important. Using technology that can help with this task, such as data discovery and classification, is a good starting point.” Organisations need to adopt a stronger data protection posture using data classification as the cornerstone. We’ll show how our methodology provides a firm foundation towards onward compliance, and how integrating data classification with necessary data protection tools such as DLP, rights management, encryption helps to extend the value and effectiveness of wider data security and governance ecosystems. We will make suggestions as to relevant takeaways and responses to adopt, to ensure not only are you on the right direction of travel towards better cybersecurity, but that the measures in place will provide long term competitive differentiation and overall value to the business. This session will look at: • The HelpSystems data security methodology • What data classification brings to your business • Common customer challenges • Data classification use cases • Approach towards robust compliance and data loss mitigation

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