How to Build an Effective and Understandable Cybersecurity Risk Management System

by | Published Aug 22, 2025 | Last updated Aug 25, 2025

With virtually all industries having undergone some form of digitalisation, cybersecurity has become more pertinent than ever. The relevance of cybersecurity is also reflected in Google searches. The search term ‘Risk management’ remained steady over the years, but around 2022, a noticeable gap emerged between cybersecurity and risk management, with an increasing number of people searching for cybersecurity-related terms.

Google Trends report of Risk Management (Blue) and Cybersecurity (Red) from 2004 until 2025
Google Trends report of Risk Management (Blue) and Cybersecurity (Red) from trends.google.com

What is Cybersecurity Management?

Cybersecurity management is the systematic approach to protecting your organisation’s digital assets through coordinated policies, procedures, and controls.

An effective cybersecurity management system answers five critical questions:

  • What could go wrong? (Threat identification)
  • How bad could it get? (Impact assessment)
  • What’s stopping it? (Barrier management)
  • How do we know it’s working? (Performance monitoring)
  • How do we keep improving? (Continuous enhancement)

This follows the Plan-Do-Check-Act (PDCA) cycle that transforms cybersecurity from a one-time project into an embedded organisational capability. You need to plan your defences, implement them effectively, continuously check they’re working, and act on lessons learned. Without this systematic approach, even the best security tools become outdated defences that provide false confidence.

Building Your Cybersecurity Management System: A step-by-step approach

Step 1: Map Your Digital Assets and Infrastructure

Start with what matters most. Document your:

  • Critical data repositories and databases
  • Customer-facing systems and applications
  • Network infrastructure and cloud services
  • Access control systems and authentication methods
  • Third-party connections and integrations
  • Physical and virtual devices (servers, workstations, laptops, mobile devices, IoT devices)

Step 2: Build a risk register

Create a structured risk register that captures all essential information for each identified risk. It functions as the backbone for your risk management. It is therefore important that it is comprehensive and that it is established by incorporating the insights of all stakeholders.

For now, we are focusing on just cybersecurity. But cybersecurity risk management should not be studied in isolation. The identified risks also impact other aspects under the umbrella of enterprise risk management, such as the organisation’s reputation.

HazardAssetEventProbability or EffortConsequenceSeverityStrengths of KnowledgeComment
Power DisruptionServerLocal blackout (<1 hour)5% – 10%Downtime, operational delays, data lossMediumLowLimited historical incident data
Weak Access ControlsCustomer DataData breach via compromised credentials15% – 25%Regulatory fines, reputational damage, customer lossHighMediumSupported by industry trends
Weak Access ControlsBusiness DataInsider threat (unauthorised data access)5% – 10%Regulatory fines, reputational damage, legal liabilityMediumLowLimited internal reporting
Software VulnerabilitiesApplication DataWeb application attack (SQL injection, XSS)20% – 35%Regulatory fines, reputational damage, customer lossHighMediumInformed by vulnerability assessments
Software VulnerabilitiesSource Code & SoftwareIntellectual property theft via code exfiltration5% – 10%Competitive disadvantage, financial lossMediumLowFew internal incidents

Key Components Explained:

  • Hazard: Source of harm
  • Asset: What’s at risk (systems, data, infrastructure)
  • Event: The specific incident that could occur
  • Probability: Likelihood range based on available data
  • Consequence: Business impacts if the event occurs
  • Severity: Intensity of the negative consequences
  • Strengths of Knowledge: The knowledge available to the risk assessor for determining the consequences and probabilities
  • Comment: Additional information

Step 3: Creating Decision Support

The risk register is the starting point for providing decision support. In this step, the risk manager must balance the need to provide comprehensive information to decision-makers without overwhelming them with excessive details.

Probability Consequence Diagram

Several tools can be used to provide relevant insights without overwhelming the reader. A first step would be to make a consequence probability diagram (PCD) that summarises the findings of the risk matrix. A PCD can take the form of a risk matrix, which is a common tool in risk management. However, the risk matrix is rarely effective as decision support, as it oversimplifies the risk landscape to the point where it leads to worse decisions than if the matrix had not been used.

Especially for cybersecurity risks, the traditional risk matrix is insufficient. However, it is possible to create a risk matrix adaptation that provides more information, thereby increasing the likelihood of offering adequate decision support. The go-to adaptation for this would be a bubble diagram with confidence intervals.

The bubble diagram not only represents the consequences and probabilities, but also shows the level of Strength of Knowledge (SoK). This represents the level of knowledge the risk assessor has for determining the probabilities and consequences.

Cybersecurity Risk Matrix: Effort vs Impact with Uncertainty Bubbles and Confidence Intervals. This advanced risk visualisation displays 11 cybersecurity threats plotted on a coordinate system where the horizontal axis represents Impact Severity (ranging from Negligible to Catastrophic on a 1-5 scale) and the vertical axis represents Exploitation Effort (ranging from Very Low to Very High on a 1-5 scale, with higher values indicating more effort required by attackers).
The chart features three key visual elements: First, coloured bubbles of varying sizes represent different confidence levels in the risk assessment - small bubbles indicate high confidence, medium bubbles show moderate confidence, and large bubbles reveal low confidence in the data. Second, horizontal and vertical lines extending from each bubble centre show confidence intervals, indicating the range of uncertainty for both impact and effort estimates. Third, a red gradient heatmap overlay uses iso-contours to highlight areas where combined impact and effort create the highest overall risk exposure.
Key findings include: Zero-day exploits and IoT botnet attacks occupy the highest-risk zone (high impact, low effort for attackers) with large uncertainty bubbles indicating significant knowledge gaps. Supply chain attacks and APT campaigns also present severe risks with substantial uncertainty. Mid-range risks include SQL injection, ransomware deployment, and business email compromise, showing moderate confidence levels. Lower-risk threats like phishing emails and automated port scanning cluster in the low-impact, high-effort zone with small uncertainty indicators, suggesting these are well-understood threats.
The visualisation demonstrates how uncertainty quantification enhances traditional risk matrices by revealing where additional research or monitoring is most urgently needed - particularly for high-impact, low-effort threats with large confidence intervals
Example of a bubble diagram with confidence intervals from Joukegaastra.com
Bowtie Analysis

Bowtie analysis provides a framework that maps the complete risk scenario, showing how multiple threat pathways can lead to system compromise and identifying the barriers that stand in the way.

Making bowties of the risk events from the risk register can be a great way to provide decision support. It provides a comprehensive, yet easy-to-understand overview of the causes and effects of a central event. And most importantly, what preventive and mitigating strategies can be employed to minimise the risk.

Figure 1 Embed from Openrisk

Step 4: Decide and Do

After analysing the risks and turning this into decision support, it is time to decide and act on these decisions. We can avoid risk by stopping certain activities. We can reduce risk by implementing barriers, or accept the risk or share it through insurance. 

Step 5: Check – Monitor and Measure Performance

A cybersecurity management system is only as good as its ongoing performance, so this stage is about measuring whether your system works as intended. Start by monitoring the effectiveness of the barriers. For preventive measures, that might mean tracking patch compliance, multi-factor authentication adoption, and training completion rates. For mitigating barriers, track how quickly threats are identified and contained, the accuracy of your monitoring tools, the reliability of your systems, and whether recovery measures such as backups succeed when needed.

Barrier status alone is not enough; they need to be tested. Run penetration tests to simulate attacks, stage phishing exercises to gauge employee readiness, and rehearse disaster recovery plans to ensure resilience. Red team exercises can provide a realistic picture of how well your organisation performs under pressure.

Finally, review the entire management system through regular audits to ensure its effectiveness. Internal audits should check your internal processes and barriers. External audits offer an independent assessment, while compliance audits verify that you’re meeting regulatory requirements such as ISO 27001 or NIST. This constant cycle of measurement, testing, and review ensures that your defences don’t become stale or overestimated.

Step 6: Act

Once you’ve identified what works, the next step is to lock those successes into your organisation’s daily operations. Standardise proven solutions by converting effective pilots into formal procedures, updating policies to match best practices, and formalising any ad-hoc processes that have shown real value. Lessons learned from incidents should feed directly into training programmes so the knowledge isn’t lost.

Embedding these improvements into the organisational structure is equally important. That can involve updating job descriptions to include security responsibilities, adjusting performance metrics to reward secure behaviour, and incorporating security checkpoints into existing business processes, such as procurement and vendor management.

You also want to consolidate improvements, removing redundant or conflicting controls and harmonising security practices across all departments. Over time, these efforts should lead to a unified set of security standards that everyone follows.

When the dust settles, document what has been standardised and set fresh targets for the next cycle. In this way, a foundation is built that stands firm even as people, tools, and threats change.

Conclusion

The PDCA approach we’ve outlined transforms cybersecurity from a reactive scramble into a predictable, manageable business process. By building a risk register, visualising threats through bowties, and continuously measuring barrier effectiveness, you can create clarity in complexity.

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