IoT Security Institute

Data Classification: Building a Foundation for Data Security and Privacy

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Data classification is a core component of defining and understanding data that security and risk professionals must protect, as well as identifying the way employees should handle it and the types of security controls that are necessary.

Data classification tools, which include manual (user-driven) and automated classification, help organizations apply metadata tags to sensitive data. In the last year, more than half of global security decision makers have implemented data classification.

What are their biggest challenges and what are options to overcome them?

In this webinar, guest Forrester Senior Research Analyst Heidi Shey and Spirion COO AG Crum discusses what to look for when evaluating an enterprise-wide Data Classification implementation—whether you’re exploring or have already implemented some form of data classification.

Key takeaways:-
* Core capabilities you must consider for effective data classification.
* What constitutes sensitive data, which provides context for controls and policies.
* How organizations can build a culture of data awareness and responsible data handling.
* Closing the gaps in existing DLP classification implementations.
Key metrics for building a business case and reporting your organization-wide risk posture.

Who should attend: Information security and cyber security, also Information Officers including CIOs, Information Security Directors, Staff Attorneys, or anyone concerned with Privacy and Compliance

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