Risk Management: Why Process Must Come Before the Spreadsheet
In the age of NIS2 and CRA, risk is no longer an abstract "random event"— it has become a measurable parameter of every business process. The real art is not about filling endless spreadsheets, but about understanding business mechanics and choosing tools that provide clear answers, not just an illusory "sense of security."
Choosing the Right Tools: Don't Use a Cannon to Kill a Fly
In a world full of advanced methodologies, the key skill is knowing what each tool is for. Using a complex analysis where quick business decisions are needed is a common trap. Analyzing current market trends and best practices, the division should be clear:
- BIA (Business Impact Analysis) – when analyzing the survival of the business as a whole.
- S × O (Severity × Occurrence) – optimal for processes in the sense of ISO standards (e.g., 27001).
- PFMEA – reserved for manufacturing processes on the shop floor.
- DFMEA – for the product design phase.
- TARA (Threat Analysis and Risk Assessment) – dedicated to software products and vehicle cybersecurity according to ISO 21434.
Each of these tools is effective, but only in its natural environment. Business processes love clarity, not complexity. Technical processes require precision, not oversimplification. The choice of tools must be conscious and suited to the context.
The Simplicity Paradox: The Advantage of the S × O Model
Why does the simplicity of the S × O model (Severity × Probability) have an advantage in system processes (ISO/TISAX)? Because it allows you to quickly go through three key steps: definition, assessment, and mitigation.
When analysis is too complex, it becomes a "black box" incomprehensible to recipients. The S × O model provides hard, semi-quantitative data on which you can make one of four right decisions: accept, reduce, transfer, or avoid risk.
Remember, conscious risk acceptance (the Authorize step in NIST RMF) is a sign of maturity, not failure.
Mitigation: Ingenuity Over Budget
A common mistake is the belief that risk reduction always requires high costs. Technical solutions can be expensive, but a mature organization must not forget about organizational measures.
Well-documented and understood procedures, creative work reorganization, or systematic team awareness building (cyber hygiene) often deliver a much higher return on investment (ROI) in security than the most expensive technological solutions.
The Key to Success: Team, Not Soloist
Risk analysis should never be the work of a single person. To be reliable, it must be the result of an interdisciplinary team's effort. Only by combining operational, technical, and managerial knowledge can you eliminate "blind spots" and realistically assess the probability of an incident occurring.
Without the engagement of people, any analysis remains merely a dead document in a filing cabinet.
Risk Management: Questions and Answers (Q&A)
What are the basic risk treatment strategies?
In professional risk management (e.g., according to the NIST RMF or ISO 31000 model), there are four main paths:
- Mitigation (Reduction) – implementing technical or organizational safeguards to lower the risk level to an acceptable threshold.
- Avoidance – abandoning a specific activity, process, or technology that generates excessively high threats.
- Transfer – shifting financial responsibility to an external entity, e.g., through cyber insurance or process outsourcing.
- Acceptance – a conscious decision to deem the risk acceptable without implementing additional measures.
A common mistake is the belief that risk reduction always means high costs. Technical solutions can be expensive, but don't forget about organizational measures.
Better written and understood procedures, creative work reorganization,
Why do modern standards support a process-based, risk-driven approach?
A process-based approach allows organizations to move beyond reactive checkbox compliance toward building a dynamic resilience system that evolves with the business structure. In this model, risk is no longer perceived as a one-time point-in-time assessment, but becomes an integral part of performance monitoring — a measurable indicator of process stability.
Risk analysis should never be the work of one person. To be reliable, it must be the result of a team's work—preferably interdisciplinary. Only by combining operational, technical, and managerial knowledge can you eliminate "blind spots" and realistically assess the probability of an incident.
Without people's involvement, any analysis remains just a dead document in a binder.
Is risk acceptance "giving up" without a fight?
Quite the opposite. In mature systems (the Authorize step in NIST RMF), accepting residual risk is proof of courage and business realism. It means that after reviewing the data (S × O), a conscious decision is made to continue operations, accepting responsibility for any potential incident. This distinguishes mature GRC from an unstructured "it'll be fine" approach.