Understanding the role and significance of digital assets is paramount in today’s digital era. SecondSight offers a unique perspective on digital assets and presents a way for organizations to effectively identify, manage, and protect these assets.

Step 1: Understanding What a Digital Asset Is

A digital asset, in our perspective, is a technology component that stores organizational data and supports your organization’s ability to generate value. It could be as small as a single file or as large as an entire database. Noteworthy examples include shared drives, Customer Relationship Management programs (CRMs), email systems, and more.

Step 2: Categorizing Your Digital Assets

Identifying and categorizing digital assets is a crucial step in managing them. We recommend grouping your digital assets into four categories according to their significance to your organization:

• Critical to Operations: These assets are essential to your organization’s operations and revenue generation. Disruption to these assets would significantly impact your organization.
• Necessary to Operations: These assets are used for core operational processes but their disruption wouldn’t halt your operations immediately.
• Ancillary: These assets are used for secondary processes that don’t directly impact core operations or revenue generation.

Step 3: Assigning Ownership

Assigning a responsible party to each digital asset is essential. This individual will be in charge of implementing and managing controls to satisfy the resilience requirements of the digital assets in their care.

Step 4: Incorporating a Broad Risk Management Approach

Our risk management approach covers four pivotal sectors: digital assets, networks & environments, people, and organization & process. This comprehensive approach ensures that all aspects of digital risk are accounted for and managed effectively.

Step 5: Utilize Tools for Continuous Monitoring and Risk Analysis

To continuously monitor and analyze digital behavior over time, tools like our Risk Tracker can be employed. Here’s how a tool like Risk Tracker can help:

• Real-time Discovery and Classification: With the help of autonomous technology, it’s possible to identify and categorize all the content within your digital assets.
• Machine Learning for Data Processing: Machine learning algorithms can help process the continuously growing volume of unstructured data, making data management more efficient and secure.
• In-depth Content Analysis and Risk Management: By delving deep into various file types, potential risks and vulnerabilities within your assets can be identified.
• Ongoing Risk Assessment and Monitoring: Continuous risk modeling can calculate correlations, time series, and other high-level risk analyses.

This 5-step approach will not only help in effectively identifying and managing digital assets but also ensure they are protected and their risks mitigated. Digital assets are vital to your organization’s success, so it’s crucial to stay on top of managing them effectively and proactively.