People

Government and Public Sector

From uncertainty to confidence

Success on CSRD S1-compliance:

Success on CSRD S1-compliance: From uncertainty to confidence

With a legislative landscape as dynamic and complex as CSRD, reporting on workforce data is very challenging. To tackle this problem, an international insurance leader reached out to Highberg to guide and help them through this new challenge ahead. Fast forward, the first reporting period has been completed as a success, with a trusted, smooth and accurate report on CSRD S1 as the result.
When approaching Highberg for help regarding CSRD S1 reporting, the goal for the client was to get a helping hand on the operational part of reporting, ultimately resulting in a trusted process of retrieving, manipulating and promoting the required data. After assessing the situation, it quickly became clear that the client faced several hurdles that made the reporting challenging.

Nele Wensauer

Netherlands

Organizational

Culture Development

How the Highberg Culture Scan supported a government organization

Case Study: Highberg Culture Scan

Skyscrapers from low angle view

In the Netherlands, several government security organizations share the same mission but serve different target groups. This overlap often causes confusion among the organizations' audiences. To address this, a decision was made to merge three organizations—each with distinct cultures, sizes, and ministerial oversight—into one integrated entity.
This merger presented unique challenges. A large, bureaucratic organization with subcultures and high employee turnover had to integrate with smaller organizations that prioritized autonomy and maintained a flat structure. The absence of a shared culture posed a significant risk to effective collaboration.
How do you create a unified organizational culture that harnesses the strengths of all three entities? Highberg was brought in to tackle this challenge by mapping the cultural landscape with the Culture Scan and guiding the subsequent culture change.

Niek Klaver

Case study: How the Highberg Culture Scan supported a government organization in successfully merging three distinct cultures

Strategy & Change

Learn about critical trends driving public sector transformation

Six public sector transformation trends

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At Highberg, we closely follow transformation trends among our clients. We have analyzed our experiences and insights in the public sector from last year, compiled them and translated them into the challenges and trends for 2025 in the public sector.
Our analysis reveals a complex landscape of opportunities and obstacles for large implementing agencies such as UWV, DUO, SVB and the Tax Office, among others. These organizations face the immense task of modernizing and optimizing their services while navigating between strict regulations, technological innovation and societal expectations.
In this article, we highlight six crucial observations influencing transformation in the public sector. These observations not only reflect the current situation, but also provide insight into the future direction as a result of digital and organizational changes within these implementing organizations.

Ralph Hofman

Wilbert Enserink

Six transformation trends in the public sector

Digital Strategy & Execution

Choose a Storage Structure Based on Requirements

Construction principles 12

Construction principles for the IT architect (12): Choose a Storage Structure Based on Requirements

In this blog series, I delve into timeless principles of information science that ensure better "information constructions." This 12th blog in the series continues with the third computer science principle (see my <a href="https://highberg.com/insights/construction-principles-for-the-information-professional">introductory blog</a> for the distinction). Why and when should you choose a relational structure (RDB and SQL), and when is linked data (RDF and SPARQL) a better storage option? Most people think of data in terms of tables to organize it, but this also imposes certain constraints when you want to later modify the structure. What trade-offs exist between the possible solutions?

Rutger Gooszen

Digital

Leveraging the Enterprise Architecture Lens in the Quest for Business Agility

Whitepaper: Enterprise Architecture Agility

Whitepaper: Leveraging the Enterprise Architecture Lens in the Quest for Business Agility

Today's organizations need a strong vision and a long-term strategy to transform their business operations, ensuring they remain competitive and sustain high performance. In the fast-paced, digitally connected world, it is crucial for organizations to adapt continuously. This quest for adaptability is central to the concept of business agility, which is the ability of a company to effectively sense and respond to fast changing requirements. Achieving this requires a transformation across organizational structure, processes, products and services, and IT systems. Taking the Enterprise Architecture lens for a more holistic approach in your transformation could foster more aligned changes and decisions in the organizational, product/service and Data and IT layer. Many organizations face obstacles due to isolated or partial transformations and therefore, misaligned strategies. In this whitepaper we will examine and describe these challenges and offer an important perspective to address them effectively.

Device-independent development

Construction principles 11

Construction principles for the IT architect (11) Device-independent development

In this series of blogs, I will reflect on the still valid information science construction principles that guarantee better "information structures". This 11th blog in the series continues with the second informatics principle (see my <a href="https://highberg.com/insights/construction-principles-for-the-information-professional">starting blog</a> for the distinction<a href="https://www.vka.nl/publicaties/constructieprincipes-voor-de-informatiekundige/"></a>). Why and when to develop device independently? It's always so nice in the architecture principles at company level or in a policy document "Our employees can work independently of time, place and device". But the impact of the desire to be able to work device-independent on the design of the IT landscape and the software to be developed is not small.

Separating application function from data storage

Construction principles (10)

Construction principles for the IT architect: (10) Separating application function from data storage

In this series of blogs, I dwell on the still valid information science construction principles that guarantee better ‘information building’. This 10th blog in the series continues with the first informatics principle (for the distinction, see my <a href="https://highberg.com/insights/construction-principles-for-the-information-professional" target="_blank" rel="noreferrer noopener">starting blog</a>). This one is about the construction of data processing. 
We don't dwell on it but every screen we process information on hides an underlying construct that extracts data from a storage and allows us to access or modify this data or add new data. If the processing function and the data storage are separated, this has great advantages. In fact, this is the information science principle of decoupling but applied in computing.

Cyber Security & Continuity

Cloudsourcing

Crowdstrike (major) malfunction: 4 Valuable BCM Lessons for the Future

Crowdstrike malfunction

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Last Friday, many organizations worldwide were affected by a serious malfunction on Windows laptops caused by a bug in Crowdstrike's antivirus software. This incident underscores the importance of a robust Business Continuity Management (BCM) plan. Below, I will discuss the events and share lessons that can help your organization be better prepared for such incidents.

Floris Baauw

Drones in the Physical Environment

The Revolution of Data Acquisition

The Revolution of Data Acquisition: Drones in the Physical Environment

In a world where technological progress marks nearly every aspect of our daily lives, it's no surprise that the physical environment is exceptionally suited for innovative applications. We're witnessing the rise of smart sensors that monitor environmental quality, smart mobility solutions making city traffic more efficient, and the use of smart dust — minuscule sensors that collect detailed data about their surroundings. Moreover, the development of digital twins, where virtual replicas of physical environments are created for precise analysis and simulation, paves the way for the application of drones in the physical environment.

Irfan Ilahi

Case study 'Redesign HR Operating Model' NS

Highberg collaborated in a transformation with the HR Department of Dutch railroads on improving the HR service delivery model. Subsequently the HR Target Operating Model was newly developed. Read below about the context, approach, and the results which were achieved.

Mariëlle van Tilburg

Heiko van Eldijk

Case study: Redesign HR Operating Model for NS

Risk, Resilience & Compliance

Data & AI

Most important obligations in the AI Act: how to comply now?

Break through in regulation of AI: The AI Act

This text is translated from Dutch with the help of AI - On December 8, 2023, the European Union reached a preliminary political agreement on the Artificial Intelligence Regulation (hereafter referred to as the AI Act). The final text is formal approved by the European Parliament. 20 days after official publication the AI Act will enter into force. This landmark legislation marks the EU's first step towards regulating artificial intelligence, targeting developers, distributors, and users of AI systems, including those systems used for predictions, classifications, and analyses.
The potential impact on governments and businesses deploying AI systems is significant. In this insight, we'll walk you through the key obligations, how they affect your organization, and proactive steps you can take to ensure compliance.

Sabine Steenwinkel-den Daas

Germany

France

Responsible AI: how to achieve AI fairness with understanding and mitigation bias by AI

Bias in AI Explained

This text is translated from Dutch with the help of AI - "Tell me honestly, what's your biggest fear when it comes to algorithms and AI?" When I ask people this question, the response often is, "AI-systems discriminate!" And of course, discriminating is far from desirable. But how do we ensure that algorithms don't discriminate?
First and foremost, it's important to understand that algorithms themselves do not discriminate. However, algorithms can be developed in ways that lead to unwanted or undesired distinctions in representation of groups in the result. This is commonly referred to as "bias" in technical terms. 
Essentially, if you have control over the bias within the algorithm, you also minimalize discrimination. In this insight, I will explain how to achieve this. Let's start by answering the question: What is bias?

Control AI risks and make impact: top criteria for responsible deployment of AI systems

In control of your AI systems

This text is translated from Dutch with the help of AI - Have you ever heard or said within your organization, "We're working with data/algorithms/AI" or "We have plenty of data initiatives, but scaling within the organization is challenging"? These questions all boil down to one main question: How do you ensure that you apply the right algorithms in the right way?

When is transparancy on AI sufficient? Comply to the AI Act with an algorithm registry?

Transparency with algorithm registry?

This article has been translated from Dutch with the help of AI: In an era where algorithms exert increasing influence on our daily lives, maintaining control over the latest developments and being transparent about them is more important than ever. This leads us to a crucial question: when is the openness and transparency surrounding these algorithms sufficient? The answer is not simple, because transparency goes beyond just registering the algorithm. In this article, we delve deeper into the steps needed to start working on transparent and responsible use of algorithms at 5 maturity levels.

Highberg's strategy against rising cybersecurity threats in industrial automation

ICS Security: setting new standards

Cybersecurity threats industrial automation (ICS/SCADA)

The world of Industrial Automation (IA) is increasingly facing cybersecurity threats. Not only foreign nuclear power plants have already been hacked, but also the first objects of our vital infrastructure. VKA has therefore developed a multidisciplinary approach to take IA to the desired higher level.

Huub Koninkx

Focus decision-making outside the boundaries of the program organization

Innovation in chains

Innovation in chains: focus decision-making outside the boundaries of the program organization

This past year I had the pleasure of being program manager for an ambitious "bottom up" initiative for exchange and reuse of soil data (chain computerization) of government and network operators. Many parties were involved such as municipalities and provinces but also dozens of (semi)private companies. At the time of writing this post, the program has temporarily stopped: the principals are looking for a way to regain funding and participation. In this blog, I briefly reflect on events and how additional measures can help this program - and other similar programs.

Ruud Boot

An integrated architectural approach for robust ICS/SCADA security

Working in architecture

Pexels dominika roseclay 1239460

Last year showed how vulnerable our infrastructure sometimes is as a result of cyber attacks. For example, PETYA caused non-functioning cranes at Maersk's container terminal, and non-functioning sorting machines at TNT. Also recently, some banks have proved inaccessible due to a DDos attack. Until now, mostly technical and related organizational measures have been taken to deal with such cybersecurity threats. However, it is slowly dawning on us that reactive measures will not be sufficient in the future if we want to guarantee the continuity of such infrastructure. So how do we really get our Operational Technology (OT/ICS/SCADA) properly secured?

Stop muddling through and start working under architecture

Battling invisible cyber threats in our digital realm

That other pandemic...

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The Corona crisis has once again made us aware of the vulnerability of our (open) society. Yet we have known for much longer that vulnerability to viruses also lurks in an entirely different world; our digital society.

IT and I(I)OT are converging, now what, evolution or revolution?

IT and OT Fusion: managing change

IT and OT converging, how do we keep a grip on this (r) evolution?

IT and I(I)OT are converging, developments are accelerating, now what, evolution or revolution? 
Actually, there are 3 major developments happening simultaneously in the world of operational technology (OT). First, the number of business and management processes that require both office automation (IT) and OT to be available is growing; with or without interfaces between them. Applications are growing, but information security is not automatically growing with them. This makes a second development even more important, that of growing external threats, with most in the news ransomware, such as previously at Maersk, recently at the Gelderland security region. Last but not least, there is a new player in this domain, dubbed by someone the "IoT virus. It often starts with 'sensors,' but eventually it involves large data streams, which need to be controlled. Lots of potential but immature in terms of security, thus vulnerable. What should enterprise management do with this? Adapt quickly to these new developments, at the risk of making mistakes because of this speed? Opt for evolution or revolution? Our answer is 'both', but according to a controlled change approach, in which IT and OT are aligned, with a stepped Architecture process and appropriate Communication at each stakeholder level.

Discover the importance of data subject rights under the GDPR

Why the rights of data subjects are important

Waarom de rechten van betrokkenen onder de AVG zo belangrijk zijn

In today's digital world, personal data is everywhere. The General Data Protection Regulation (GDPR) grants individuals specific rights regarding their personal data. But why are these rights so important, even if people rarely actively use them?

Frank van Vonderen

Why the rights of data subjects under the GDPR are so important?

Discover the crucial privacy requirements to consider when selecting a SaaS provider

Privacy requirements for a SaaS supplier

Essentiële privacy eisen voor het kiezen van een Saa S leverancier

Choosing a SaaS provider is a decision that goes beyond just functionality and price. In a world where data is one of the most valuable assets of an organization, privacy and data protection are becoming increasingly important. But what are the key privacy requirements that a SaaS provider must meet?

Essential privacy requirements for choosing a SaaS supplier

Privacy by Design: protection at the heart of algorithms

Is Privacy by Design important in algorithms?

Privacy by Design: Protection at the heart of algorithms

What is Privacy by Design?

Privacy by Design is a strategy that focuses on integrating privacy protection into technological products and systems from the outset. This approach means that privacy is a fundamental part of the design process, rather than an addition or adjustment made afterwards.

How can organizations make privacy by design concrete and actionable?

Het concreet maken van Privacy by Design

Making Privacy by Design Concrete: Practical Steps for Implementation

In today's digital age, where data is ubiquitous and privacy concerns are at the forefront, incorporating privacy by design principles into the development of products and services is paramount. Privacy by design refers to the practice of considering privacy and data protection from the outset of the design process, rather than as an afterthought. But how can organizations make privacy by design concrete and actionable?

Learn how your organization must act in the event of a data breach, under the GDPR

Navigating a data breach: step-by-step

A data breach is like an unexpected storm in the world of data protection. It can happen to anyone, but rest assured: the GDPR offers an umbrella in this storm. This blog guides you step by step through the process of managing a data breach according to the GDPR, so your organization can quickly become dry and safe again.

Organizations are required to keep such a register, what are the benefits?

Benefits of register of processing operations

What is a Record of Processing Activities (RoPA)?

What is a Record of Processing Activities (RoPA)?


A Record of Processing Activities is a detailed overview in which organizations document how personal data is processed. This includes information about the types of data collected, the purpose of the processing, with whom the data is shared, and how it is secured. According to the GDPR (General Data Protection Regulation), organizations are required to maintain such a record.

Benefits of a register of processing operations under the GDPR

Are your actions complying with the GDPR? This guide will help you navigate the GDPR

How to know if it's allowed under the GDPR?

How to know if something is allowed under the GDPR

Since its introduction in 2018, the General Data Protection Regulation (GDPR) has brought about many changes in how companies handle personal data. However, understanding the GDPR can be challenging, and it is often not immediately clear whether certain actions are allowed. This blog post provides a clear explanation of how you can determine if your practices are in line with the GDPR.

How to know if something is allowed under the GDPR: a practical tool

Having a DPO is essential to comply with the General Data Protection Regulation (GDPR)

How to find a DPO that fits your organization

Hoe vind je een Functionaris Gegevensbescherming (FG) die perfect bij je organisatie past

In an era where data protection and privacy are becoming increasingly important, finding a suitable Data Protection Officer (DPO) becomes a crucial task for many organizations. Whether it's a large corporation, an SME, or a non-profit organization, having a competent DPO is essential to comply with the General Data Protection Regulation (GDPR). But how do you find a DPO who fits perfectly with the needs and culture of your organization? Here are some tips.

How to find a Data Protection Officer (DPO) that fits your organization perfectly

Creating a data transfer impact assessment: a step-by-step guide

The importance of a DTIA

Hoe voer je een DTIA uit

In the era of globalization and digital expansion, data is continuously sent around the world. As a result, a Data Transfer Impact Assessment (DTIA) has become essential. This assessment helps organizations evaluate the risks and compliance requirements associated with transferring personal data across borders. In this blog, we will take you step by step through the process of creating an effective DTIA.

How do you conduct a DTIA?

How policymakers can make ethical and measurable trade-offs when using AI and algorithms

The Importance of an Ethical Framework

Welcome to the Dynamic World of AI and Algorithms! These technologies are transforming our lives, but they also bring ethical challenges. How do we ensure that AI is fair, transparent, and accountable? We focus on establishing an ethical framework for policymakers and the general public, with steps and criteria for ethical considerations in the world of AI.

Small college perform better Learning analytics offers opportunities for large institution

Scale affects study yield

Uit de data blijkt schaal is ook in hoger beroepsonderwijs van invloed op studierendement

Data shows: scale also influences study efficiency in higher vocational education   

What do the data tell us about the quality of education and study efficiency in higher vocational education? And what tools do the data offer for improving this? We have collected, analyzed and visualized open data on higher vocational education in a dashboard. This dashboard can be found on our website.   

From the analysis it can be seen that the study efficiency after 5 years of education in HBO has decreased by about 10 percentage points since 2002. Whereas almost 60% of the students who started their studies in 2002 (the so-called 2002 cohort) graduated in 5 years, this is only about 50% for students who started 10 years later. 
For universities, the smaller ones do better than the larger ones. This is also true for colleges of higher education. The dashboard shows that large institutions (with more than 20,000 students) score below the national average (the black line in the figure) on study efficiency. However, the gap with the national average has narrowed substantially since the 2000 cohort. 
To better understand the relationship between student success and institution size, we performed a correlation analysis. 
This clearly shows that the small institutions are doing better than the large institutions: the small institutions are in the top left of the figure and the large ones in the bottom right. 
One explanation for the better performance of small institutions may be that they offer very specific degree programs (especially in the arts, agri-business and based on a specific foundation/signature). 
Students who choose these institutions are thus making a more conscious choice for a specific program. In academic education, this can be seen at Wageningen University. This university has come out on top in the Study Choice Guide every year since 2004. Students who choose this university in "provincial village" Wageningen must be "very motivated," according to the guide.

Gijs de Groot

Data shows: scale also affects study efficiency in higher vocational education

Student characteristics predict academic success. Customized support possible

Chracteristics as study success predictors

Learning Analytics Kenmerken van studenten als voorspellers voor studiesucces

In the previous blogs, we explained what learning analytics is. We also used a dashboard to show how scale in higher vocational education affects study success and what interventions are possible based on this information. However, scale of an educational institution is not the only variable that affects study success. After all, students differ from one another. Are there certain types, or profiles, of students who do better than others? In this third and final blog of this series, we will look for an answer to this question, again using the dashboard.

Learning analytics: student characteristics as predictors of study success

Centralized, decentralized or hub and spoke? Efficient collaboration, clear structure.

The hub and the spokes

De naaf en de spaken hoe organiseren we onze data expertise

How do we get more out of our data? We ask our data specialists, but where are they in our organization? In a separate corner behind big screens and fat computers, among employees in departments or somewhere in between?

The hub and the spokes: how do we organize our data expertise?

Effective visualizations: Audience, setting, omitting, imagery, clarity, color.

This is how to deal with visualization urges

Zo ga je om met visualisatiedrang 6 tips voor de vormgeving van visualisaties

Because visualizations within organizations can be created in many ways, the search for the right form is on. Design choices affect the outcome. The content may be seemingly identical, while a powerful design ensures that the message is better understood or comes across better. The following 6 tips will help in the choice of design. 

Tip 1: Choose a clear target audience for the visualization. 
A director does not want complex Excel sheets, while others want to study the details. Therefore, match the message to the target audience. If the target group is organization-wide make sure it is accessible to everyone and keep it as simple as possible. 

Tip 2: Choose the setting in which the visualization should land. 
Is it a report from tooling, the report and presentation of a study, a communication message, a drawing on whiteboard/flip chart, a supplement to a quotation, etc., the setting gives direction to the design. A communication message should only be about the message, while a visualization in a quotation should be visually appealing and also support content. 

Tip 3: The art of omission. 
Ask whether it is really necessary to present certain information. The more information is left out the more focus there is for what is left. This makes a discussion much more specific and gets people thinking in a more focused way. 

Tip 4: Within visualizations, use figures instead of text. 
If, within a visualization, a word or phrase can be replaced with a figure, it is easier to understand and sticks better. This works the opposite way if the chosen figure is not sufficiently clear, then discussion and ambiguity will arise. 

Tip 5: Provide overview within the field of view. 
For example, an infographic fits into one page, but if there is a lot on it, the message is lost. On the other hand, if there are more visualizations for the same topic, ask yourself if it can't be combined in clickable selections, for example. 

Tip 6: Use lots of color. 
Dark colors are more likely to be boring. Bright colors appeal, but are not always easy to see or it is childish. Therefore, when adding color, always make sure it is the right shape and accessible. 

Extra tip: Contact me to go over even more considerations for creating powerful visualizations.

Douwe Horst

This is how to deal with visualization urges: 6 tips for designing visualizations

Improvements in data quality drive process optimization, creating an upward spiral.

Data in order? Improve your processes too

Data op orde

Data is increasingly put in order as a result of attention to data management. It is forgotten that this leads to improvements in the primary and supporting processes, resulting in fewer errors and higher effectiveness. These process improvements, in turn, ensure that the data quality increases, resulting in a self-reinforcing effect. So after putting the data in order, don't forget to improve the processes. 

I meet more and more organizations that are serious about data management. This is to comply with the AVG (General Data Protection Regulation) but also because they can realize their ambitions such as information-driven work on the basis of data. When complying with the AVG, the focus is on what data may and must be retained and who has access to this data. With information-driven work, it is mainly the search for data on which control can take place. 

As a result, data has increasingly been put in order. In other words, an inventory is made of the data present within the organization, because there is often no overview of it, and then it is placed in a suitable location with appropriate authorizations. But all too often I see that it is then forgotten to make better use of this data in the primary and supported processes.  An open goal is missed. 

An example of this in the primary process is putting client files in order in a healthcare institution. The added value of this becomes much greater if one then looks at how this data can be used effectively and efficiently by employees. What information do they need in order to best help the client in specific cases? How can we ensure that precisely this information is easily and quickly extracted from the file? 

Another example is the deployment of steering information. Based on this data, the quality of the capacity management of employees in support processes can be examined, or where in administrative processes the greatest delays occur. This often turns out to be low-hanging fruit because it takes little time to identify improvements. 

and if process improvements are achieved in this way, this also leads retroactively to further strengthening data quality. After all, when processes have fewer errors and are more effective, data quality also increases. This creates a self-reinforcing effect. 

If you want to know where data-based process improvement can be achieved for your organization, please contact me.

Data visualization drives data-driven decisions: Insights, efficiency, informed choices.

Storytelling with datavisualization

Storytelling met datavisualisatie

Governments want to work in a data-driven way, using data to design policy and implementation more efficiently. This starts with making the data accessible, offering insight into the data and thereby telling the story. Data visualization and dashboards offer a low-threshold method for this, and directly help to work and steer in a data-driven manner.

When is protection truly effective? How can you measure it?

Status information Security & Privacy Policy

How Effective Is Your Information Security and Privacy Policy? Measure It!

In today's increasingly digital world, effective information protection is a pressing concern. It's common to discuss information security and privacy, but when is protection truly effective? How can you measure it? Often, we measure that we are doing the right things (compliance), but not whether data is effectively protected. However, in practice, the latter is the most crucial aspect. After all, you do these things to prevent data breaches or information security incidents.

Marlijn Mulder

The question is not whether there will be casualties as a result of a cyberattack but when

Vulnerability SCADA to Cybersecurity Attacks

Vulnerability of SCADA Systems to Cybersecurity Attacks

Many different organizations and companies use SCADA/ICS (Supervisory Control and Data Acquisition/Industrial Control Systems) systems in various ways in their primary (production) processes or products. This includes manufacturing companies, control of bridges and locks, electric cars, equipment in intensive care units, as well as pacemakers and wireless insulin pumps. IoT (Internet of Things) is also playing an increasingly significant role in this context.

Koos van der Spek

Is a new trend emerging in the world of hackers: data leaks as a business model?

Data Leaks as a Business Model?

Cyber Extortion: Data Leaks as a Business Model?

Is a new trend emerging in the world of hackers: data leaks as a business model? With the worst of the GDPR (General Data Protection Regulation) storm settling down and the era of "can't do it, it's against GDPR" hopefully behind us, hackers are discovering a new source of income: fear of fines.

Bart Giesbers

Where lies the Ownership of Risks and Measures in Information Security?

Ownership of Risks in Information Security

Information security is everyone's responsibility! Most people who have ever been an audience member for a presentation on this subject have heard the above statement at some point. It's a true statement but one that remains somewhat cryptic in practice for many.

Steven Debets

Other organizations have realized that it would have been handy if there had been a BCP.

Questions Your BCP Should Answer

Over the past few weeks, many organizations have been able to put their business continuity plans (BCP) into practice. Other organizations have realized that it would have been handy if there had been a BCP. Which category does your organization fall into? In any case, we've all been busy brainstorming scenarios and gathering data to gain control over the things coming our way.

We've selected five measures that you should take to enhance your cyber resilience.

Five Measures to Increase Cybersecurity

Five Essential Measures to Increase Cybersecurity and Cyber Resilience

Companies and governments will need to pay much more attention to cyber resilience to prevent serious damage in the future.

Government and Public Sector

Highberg in the Government and Public Sector

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