At a Glance
A European company had cybersecurity information spread across several teams, tools, reports and spreadsheets.
The IT team maintained technical asset records. The security team worked with vulnerabilities, alerts and incidents. Risk and compliance teams managed risks, controls and audit findings. Procurement held information about suppliers. Business continuity specialists documented critical processes and recovery requirements.
Each team had useful information, but they did not always work from the same view.
The same system could appear under different names in separate tools. A vulnerability might be linked to a server but not to the business service it supported. A supplier could be recorded in a contract register without being connected to the systems or data it handled. A security control might be described in a policy without showing where it applied or whether it was working.
This made it difficult to answer some basic questions:
- ?Which assets support the company’s most important business processes?
- ?Which vulnerabilities create the greatest operational risk?
- ?Which suppliers have access to critical systems or sensitive information?
- ?Which security controls apply to each risk?
- ?Are those controls working as expected?
- ?Who is responsible for each asset, risk, control and action?
- ?What else could be affected if one system, supplier or control failed?
We helped the client connect the information that already existed and organise it around a shared cybersecurity model.
The company could then look at its cybersecurity environment as a set of connected relationships rather than as separate lists. Different teams could see how business processes, data, applications, infrastructure, suppliers, vulnerabilities, controls, risks and actions affected one another.
About the Client
The company’s name, exact employee numbers, locations and selected operational details have been withheld for confidentiality reasons.
The Challenge
The company did not lack cybersecurity information. The problem was that the information had been created for different purposes and maintained by different teams.
Technical inventories contained servers, endpoints and applications. Vulnerability tools recorded weaknesses. The risk register described business and information security risks. Audit records contained findings and evidence. Procurement systems held supplier and contract details.
These sources rarely used the same structure.
A business service could depend on an application, several servers, a cloud platform and an external supplier. However, these relationships were not visible in one place.
When a new vulnerability appeared, the security team had to contact several people to understand its importance. When an auditor requested evidence, the compliance team had to collect documents from different owners. When a supplier changed its service, it was difficult to see which business processes, systems and controls might be affected.
Reports were usually prepared by exporting information from separate systems and combining it manually. By the time the report was complete, some of the information might already have changed.
Cybersecurity information existed — but it was fragmented and disconnected.
The challenge was not a lack of data, but the inability to see how different pieces of information related to one another to support effective decision-making.
The client wanted a shared view without replacing every existing security or business system.
What the Client Wanted to Achieve
The project had seven main goals:
Create a common structure for the most important cybersecurity information.
Connect technical assets with business processes and operational impact.
Show the relationships between risks, vulnerabilities, controls and actions.
Make supplier and third-party dependencies easier to understand.
Assign clear owners to important records and decisions.
Reduce duplicate records and manual reporting work.
Allow the cybersecurity view to change as the business and technology environment changed.
What We Did
We started with the decisions people needed to make
The aim was not to collect every available piece of data. We first identified the questions that security, IT, risk, compliance and management needed to answer.
We held workshops with representatives from:
- ✓IT and infrastructure;
- ✓information security;
- ✓risk and compliance;
- ✓data protection;
- ✓procurement and supplier management;
- ✓business continuity;
- ✓selected business departments.
Each team explained which information it maintained, where that information came from and how it was used.
This helped distinguish information needed for decisions from data that was merely available. It also revealed duplicated work and areas where teams depended on records maintained elsewhere.
We agreed on a common cybersecurity model
We created a shared structure for the company’s cybersecurity information.
The model connected:
- ✓business processes;
- ✓business services;
- ✓departments and locations;
- ✓information and data;
- ✓applications;
- ✓servers, endpoints and network components;
- ✓identities and privileged accounts;
- ✓cloud services;
- ✓suppliers and external services;
- ✓threats and vulnerabilities;
- ✓cybersecurity risks;
- ✓security controls;
- ✓policies and procedures;
- ✓incidents and audit findings;
- ✓risk-treatment and improvement actions;
- ✓responsible owners;
- ✓supporting evidence and review dates.
The model did not simply place these records together. It showed how they were related.
We agreed on names, ownership and trusted sources
One of the most practical problems was that separate systems used different names for the same asset.
We introduced an agreed identifier for important assets and recorded alternative names used in technical tools, business documents and supplier records.
For each important type of information, we also agreed:
- ✓which source was treated as the main reference;
- ✓which team was responsible for maintaining it;
- ✓how often it should be reviewed;
- ✓how conflicts between sources should be resolved;
- ✓which changes required approval;
- ✓what should happen when required information was missing.
This did not remove every difference immediately. It gave teams a consistent way to resolve differences and improve information over time.
We connected technical findings with business impact
Vulnerabilities, incidents and alerts became more useful once they could be placed in context.
A vulnerability could now be connected to:
- ✓the affected technical asset;
- ✓the application running on that asset;
- ✓the business service supported by the application;
- ✓the information processed;
- ✓the relevant supplier;
- ✓existing security controls;
- ✓the related cyber risk;
- ✓the owner responsible for remediation.
This allowed the security team to see whether a technical problem could affect production, customer services, financial operations, employees or sensitive information. It also allowed business owners to understand why an issue required their attention.
We made the model responsive to change
A static register begins to lose value as soon as systems, suppliers and business processes change.
We therefore defined events that should trigger a review of related information. These included:
- ✓a new application or cloud service;
- ✓a major system change;
- ✓a change of supplier;
- ✓a newly identified vulnerability;
- ✓a security incident;
- ✓a failed or ineffective control;
- ✓a change to a critical business process;
- ✓a new legal, contractual or customer requirement;
- ✓an overdue risk-treatment action.
When one of these events occurred, the relevant relationships could be reviewed rather than treating the change as an isolated update. For example, replacing a supplier could lead to a review of the affected service, data access, contracts, controls, continuity arrangements and related risks.
We used automation where it reduced repetitive work
Automation was introduced selectively. The purpose was to reduce manual work without removing responsibility or oversight.
Suitable activities included:
- ✓importing updated technical asset information;
- ✓matching scanner findings with known assets;
- ✓notifying owners about new or overdue actions;
- ✓highlighting records with missing owners;
- ✓identifying controls with outdated evidence;
- ✓flagging expired risk exceptions;
- ✓preparing consistent information for regular reports.
Automation supported the process, but it did not make risk decisions on behalf of the company. Business owners remained responsible for understanding the impact. Control owners remained responsible for confirming whether controls worked. Risk owners remained responsible for accepting or treating risk.
We clarified responsibilities across teams
A shared model only works when people know what they are expected to maintain.
We assigned responsibility for:
- ✓business processes and services;
- ✓applications and infrastructure;
- ✓information assets;
- ✓suppliers and contracts;
- ✓cybersecurity risks;
- ✓security controls and evidence;
- ✓vulnerability remediation;
- ✓audit and improvement actions;
- ✓reviewing and resolving data-quality issues.
Teams did not need to maintain information outside their area of responsibility. They needed to understand how their information was used by others and which changes had to be communicated.
We improved reporting and impact analysis
The connected model allowed the company to prepare reports based on relationships rather than manually combining separate exports.
Management reporting focused on:
- ✓critical services with unresolved risks;
- ✓important assets without accountable owners;
- ✓high-priority vulnerabilities affecting critical operations;
- ✓controls that were missing, ineffective or lacked current evidence;
- ✓supplier dependencies affecting important services;
- ✓overdue actions and expired exceptions;
- ✓incidents affecting related systems or processes;
- ✓decisions required from management.
The model also supported impact analysis. If a critical supplier reported a problem, the company could identify the services, systems, information, controls and business owners that might be affected. This helped teams respond using shared information rather than creating a new spreadsheet for each issue.
What We Delivered
The client received:
- ✓a unified model for important cybersecurity information;
- ✓a common structure for business, technical and security records;
- ✓links between processes, data, applications, infrastructure and suppliers;
- ✓connections between vulnerabilities, risks, controls and actions;
- ✓agreed ownership and maintenance responsibilities;
- ✓rules for resolving duplicate and inconsistent records;
- ✓review triggers for important changes;
- ✓selected automated updates, notifications and checks;
- ✓management reporting templates;
- ✓a practical process for keeping the model current.
The company did not have to replace every existing tool. The project created a common structure that made information from those tools easier to connect, understand and use.
The Results
Within nine months, the client achieved:
The client established a common structure that allowed IT, information security, risk, compliance, procurement and business continuity teams to work from a more consistent view of the cybersecurity environment.
Critical business services were connected with the applications, infrastructure, information, suppliers and security controls on which they depended. This gave technical findings greater business context and helped the company prioritise vulnerabilities according to their potential operational impact rather than technical severity alone.
The introduction of common identifiers and agreed sources of record reduced inconsistencies between technical inventories, risk registers, supplier records and audit documentation. Important records were assigned to accountable owners, together with defined review dates and maintenance responsibilities.
Supplier dependencies also became more visible. When a supplier reported an incident, service change or control failure, the company could identify the potentially affected systems, information, business services, contractual obligations and continuity arrangements more quickly.
Selected automation reduced repetitive work by importing updated technical asset information, connecting vulnerability findings with known assets, notifying owners about new and overdue actions, identifying records without an assigned owner, highlighting outdated control evidence, flagging expired risk exceptions, and preparing consistent information for management reports.
The automation supported the process without replacing human accountability. Business owners remained responsible for operational impact, control owners confirmed whether controls remained effective, and risk owners continued to decide how identified risks should be treated.
Most importantly, teams no longer had to manually reconstruct the same relationships whenever they investigated an incident, assessed a vulnerability, reviewed a supplier or prepared a management report. The unified model made it easier to understand how a change or cybersecurity issue in one area could affect the wider organisation.
What Changed for the Client
What We Learned
Client Comment
“We already had most of the information we needed, but it was held by different teams and recorded in different ways. The shared model helped us understand how our systems, suppliers, risks and controls were connected. Teams can now work from the same information and see the wider effect of a change or security issue.”
The quotation above must only be used after client approval. If an approved quotation is not available, this section should be removed.
Conclusion
The client did not need another independent cybersecurity database. It needed a clearer way to connect and use the information it already had.
Separate teams had useful records, but the relationships between those records were incomplete. This made it difficult to understand dependencies, assess business impact and keep reports current.
By creating a unified cybersecurity model, the company connected business processes, data, applications, infrastructure, suppliers, vulnerabilities, controls, risks and responsible owners.
Technical findings gained business context. Supplier dependencies became more visible. Changes could trigger reviews of related risks and controls. Routine checks and reporting required less manual work.
Most importantly, different teams could make decisions using the same basic view of the company’s cybersecurity environment.
Are You Facing a Similar Problem?
Cybersecurity information is often held across technical tools, risk registers, supplier records, audit reports, policies and spreadsheets.
Cybersecurity Analytics can help you:
- ✓connect cybersecurity information across different teams;
- ✓link technical assets with business processes and services;
- ✓show the relationships between risks, vulnerabilities and controls;
- ✓make supplier dependencies easier to understand;
- ✓assign clear ownership to important information and actions;
- ✓introduce useful automation without removing human oversight;
- ✓prepare clearer reports for management.
Connect your cybersecurity information for better decisions.
Contact us to discuss how a unified cybersecurity model could support your organisation.
Connect cybersecurity information across different teams and tools.
Link technical assets with business processes, suppliers, and services.
Introduce useful automation without removing human oversight.
Prepare clearer, relationship-based reports for management.
