Discover and Classify Your Data
Provide your data with the protection it deserves.
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Data handling procedures are outdated and don’t properly address the sensitivity of data.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.
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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: | |
|---|---|---|
| 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: | |
|---|---|---|
| 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: | |
|---|---|---|
| 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: | |
|---|---|---|
| 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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