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Asset management

As explained in Data-Driven Cybersecurity

Asset management is the process of identifying, tracking, and governing an organization's hardware, software, and information assets.

Asset management means identifying, classifying, and administering assets throughout their life cycle. Assets include devices, systems, software, data, and intellectual property; visibility must also extend to cloud resources and third-party dependencies. Without knowing what exists and matters most, an organization cannot protect it effectively. section 6.2 section 6.0

Apply security requirements at each stage:

  • Plan requirements, responsibilities, risk assessments, and controls before acquisition. section 6.2
  • Check purchases and suppliers against those requirements; develop custom assets using secure coding practices. section 6.2
  • Configure deployed assets, limit access to what users need, monitor usage, and train users. Maintain assets through updates, patches, audits, and vulnerability work. section 6.2

Turn an inventory into a decision

After outdated equipment disrupted patient care, a medical technology provider set targets of full hardware and software accountability, zero unaccounted assets, and critical classifications for 90% of hardware and 70% of software. Its dashboard showed 80% of hardware and 50% of software classified as critical—10 and 20 percentage points below those respective targets. An inventory audit and automated tracking helped address visibility; the classification gaps identify where to review priorities rather than treating asset counts alone as proof of safety. section 6.2.2

Figure 6.2 The left side shows TechMed Solutions’ asset management dashboard before managing hardware and software assets. The right side shows the dashboard after implementing hardware and software asset management.

Compare the before-and-after asset dashboards to see how hardware and software tracking makes gaps visible. section 6.2.2

Use the inventory to inform risk assessment and focus security effort on assets whose failure or compromise would matter most to operations. Revisit the inventory and its controls as assets and threats change. section 6.0 section 6.6

How Data-Driven Cybersecurity covers it

How deep it goes
Explains life-cycle decisions from planning through maintenance and illustrates inventory metrics, without specifying a complete tracking implementation.
Examples
Uses a medical technology provider’s equipment failure, accountability targets, inventory audit, automated tracking, and before-and-after dashboards.
What it assumes
Defines the asset life cycle and explains least privilege through a laptop-user example rather than assuming that principle is known.
What you can do after
Operate/configure it by auditing inventories, tracking hardware and software, and comparing accountability and criticality with stated targets.
How it connects
Connects asset management to risk assessment, least privilege, vulnerability management, and continuous security improvement.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Data-Driven Cybersecurity. The section links point to the parts of the book it draws on.