OpenText From Data Chaos to Control: The Role of Data Discovery, Classification and Remediation in Reducing Risk

Join us for a comprehensive discussion on how to transform data chaos into control and establish a proactive, risk-aware approach to data management.

In today's digital landscape, organizations face an ever-growing challenge in managing vast amounts of unstructured and sensitive data across diverse environments - cloud, on-premises, and hybrid infrastructures. This roundtable discussion, From Data Chaos to Control: The Role of Data Discovery, Classification, and Remediation in Reducing Risk, will explore the critical strategies necessary to regain control over data, mitigate risks, and ensure compliance. 

We will dive into the growing complexity of data sprawl, emphasizing the importance of data discovery as the first step in understanding what data exists, where it resides, and who has access to it. With this knowledge, organizations can implement effective data classification frameworks that label and categorize data based on sensitivity, compliance needs and business value - forming the foundation of robust data governance. 

We'll examine the role of AI-driven automated remediation strategies, which can enforce security policies, encrypt, delete, or restrict access to sensitive data, providing significant benefits in risk reduction and cost management. 

Additionally, the session will highlight the evolving regulatory landscape, including privacy laws like GDPR, CCPA, and HIPAA, and their influence on data government practices. 

Finally, the business impact of these strategies will be discussed, with an emphasis on reducing risk, lowering storage costs, and bolstering cyber resilience.