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Risk

As explained in Data-Driven Cybersecurity

The potential for loss, harm, or adverse impact arising from a threat exploiting a vulnerability or hazardous condition.

Risk is the potential for adverse impact when a realistic threat exploits a vulnerability or hazardous condition. A useful assessment focuses on defined assets, scope, likelihood, and impact rather than sensational scenarios. section 6.3.1

A practical risk assessment follows a bounded sequence:

  • Set the scope and define its assets, boundaries, systems, and data before analysis begins. section 6.3.1
  • Identify realistic current and potential threats relevant to the organization, avoiding exaggerated scenarios. section 6.3.1
  • Determine vulnerabilities using software analysis and known vulnerability sources such as the Common Vulnerabilities and Exposures database. section 6.3.1
  • Interpret likelihood and impact together to support focused risk management and reporting. section 6.3.1

A scope boundary prevents analysis drift

An assessment may target a product, planned change, new implementation, critical asset, office location, data center, or the organization. Keeping that boundary explicit limits scope creep. A custom-built application may also require additional investigation because organization-specific software may have no CVE entry. section 6.3.1

Figure 6.3 Guide for conducting risk assessments

Use the guide to navigate the assessment sequence from preparation through risk reporting. section 6.3.1

How Data-Driven Cybersecurity covers it

How deep it goes
Explains scope, assets, threats, and vulnerabilities procedurally, but stops short of teaching complete threat assessment.
Examples
Uses products, changes, implementations, critical assets, locations, data centers, and custom software without CVE entries as examples.
What it assumes
Assumes the ability to identify organizational assets; directs threat-identification learners toward NIST or MITRE guidance.
What you can do after
Evaluate risk by defining scope, identifying relevant threats and vulnerabilities, and relating likelihood and impact to reporting.
How it connects
Connects risk assessment with assets, threats, vulnerabilities, likelihood, impact, CVEs, and cybersecurity frameworks.

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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.