Discover and Classify Your Data
Provide your data with the protection it deserves.
Book This WorkshopData handling procedures are outdated and don’t properly address the sensitivity of data. This means that:
- Improved security
- Greater efficiency
- Increased knowledge of the data lifecycle
Improve overall security posture and minimize the organization’s profile against attackers by understanding the sensitivity of data. This can lead to:
- Data accumulates without records of where or who has access to it.
- You don’t know sensitivity of data and who should have access to it.
Book Your Workshop
Onsite Workshops offer an easy way to accelerate your project. If you are unable to do the project yourself, and a Guided Implementation isn’t enough, we offer low-cost onsite delivery of our Project Workshops. We take you through every phase of your project and ensure that you have a road map in place to complete your project successfully.
Book NowModule 1: Formalize the Classification Program
The Purpose
- A simple data classification scheme with formal documentation
Key Benefits Achieved
- Increased insight into appropriate data
handling, storage, and transmission
Activities: | Outputs: | |
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1.1 | Understand the benefits of data classification |
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1.2 | Discuss legal, contractual, and regulatory obligations |
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1.3 | Develop a Data Classification Steering Committee |
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1.4 | Determine the data classification scheme |
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1.5 | Develop the Data Classification Policy |
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1.6 | Develop the Data Classification Standard |
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1.7 | Define the Data Classification RACI |
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Module 2: Discover the Data
The Purpose
- A plan to perform in-depth data discovery and a prioritization of classification
Key Benefits Achieved
- Increased understanding of the importance of data discovery
and classification
- Managing the challenges associated with each
Activities: | Outputs: | |
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2.1 | Discuss the benefits and challenges of data discovery |
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2.2 | Discuss the technology options for discovery and classification |
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2.3 | Discuss the human-based approach to data discovery |
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2.4 | Determine the appropriate discovery interview questions |
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2.5 | Conduct data discovery interviews (approximately two interviews) |
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Module 3: Classify the Data
The Purpose
- An organized
classification inventory and insight into the location and level of protection
needed for your data
Key Benefits Achieved
- A system to classify data and track its lifecycle
Activities: | Outputs: | |
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3.1 | Continue conducting interviews (approximately two interviews) and aggregate preliminary results |
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3.2 | Classify the preliminary findings uncovered from interviews |
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3.3 | Understand the results of the inventory tool |
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3.4 | Discuss next steps for optimizing the process |
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Module 4: Plan to Implement the Program
The Purpose
- Assist with getting the program started for the organization
Key Benefits Achieved
- Establishment of a data classification initiative
Activities: | Outputs: | |
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4.1 | Identify data metrics to track and report |
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4.2 | Develop awareness and training material |
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4.3 | Discuss next steps for continuing the data classification initiative |
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4.4 | Debrief |
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