Risk assessments.
A methodical risk assessment practice starts with asset identification, reviews practicality of risks, and makes recommendations as an output. A process for this:
- Create a census of data types, interfaces, and flows.
- Classify the data risk categories by integrity, availability, and confidentiality as high, medium, and low.
- List some threats to the data, classifying each as adversarial, accidental, structural, or environmental. Don’t pursue comprehensiveness.
- Identify vulnerabilities that trigger the threat, classifying which data risk category the vulnerability harms. These are the Risks.
- List an controls that presently mitigate each risk.
- Rate the likelihood of each risk occurring. Rate impact, too.
- List the risk rating from a matrix of impact versus likelihood, with low taking precedent, medium next, and only high + high = high.
- Finally, list risks + ratings and produce a recommendation for each.