The European Union has introduced an updated directive, NIS2, to address growing cyber threats. This regulation replaces the 2016 version and sets stricter security standards. It aims to protect networks and information systems in key economic sectors. NIS2 enhances security across the EU by introducing uniform requirements. It also expands protection to new areas of activity.
Objectives of the NIS2 Directive
The primary objective of NIS2 is to strengthen digital resilience by protecting strategic sectors such as energy, transport, healthcare, finance, and digital services. These measures are intended to ensure consistency of regulations across the European Union, eliminating legal gaps between member states. It is particularly important for entities responsible for critical services to effectively manage cybersecurity incidents and minimize their impact.
Key Changes Introduced by NIS2
The new regulations introduce several significant changes. First and foremost, the scope of sectors covered by the protection has been expanded, including postal services, waste management, and the chemical industry. Companies are categorized as either “essential” or “important,” allowing requirements to be tailored based on the significance of their operations. Stricter provisions also include increased financial penalties for non-compliance, reaching up to 10 million euros or 2% of a company’s global annual revenue.
Responsibilities of Businesses
For businesses, the NIS2 directive means implementing advanced risk management systems and conducting regular cybersecurity analyses. Companies will need to establish detailed procedures for reporting incidents to the appropriate authorities and ensure adequate employee training. While this may entail additional costs, it will build customer trust and minimize losses resulting from potential threats.
Impact on Consumers
Consumers are also affected by these changes, though less directly. The new regulations will improve the protection of personal and financial data. This will enhance security when using online services like internet banking and online shopping. Additionally, more stable and resilient information systems will lower the risk of disruptions. This applies to critical services such as healthcare and energy supplies.
Implementation of NIS2 in Poland
In Poland, implementing the NIS2 directive requires amending the National Cybersecurity System Act, which must be completed by October 2024. The new regulations will strengthen the role of national supervisory authorities and impose additional obligations on entities responsible for critical infrastructure. In the long term, this will contribute to increased stability and security across the entire economy.
What Does NIS2 Mean for Businesses and Consumers?
The NIS2 directive is an important step towards better digital protection in Europe. Both businesses and consumers will benefit from more secure networks and systems, although implementing these requirements will demand engagement and investment. In the long-term perspective, the benefits of stability and personal data protection are invaluable.
Summary
NIS2 is the European Union’s response to rising cyber threats. It sets new security standards for key economic sectors. For businesses, this requires investment in advanced protection systems. These efforts will enhance customer trust and operational stability. Consumers will benefit from better data protection and improved digital service security. The directive’s implementation in Poland strengthens digital resilience across the EU.
On April 18, 2024, the Polish Government Legislation Center published a draft law. It implements the DORA in Poland regulation (Digital Operational Resilience Act) and Directive 2022/2556 into Polish law. This draft introduces amendments to several financial sector laws. The amendments align the domestic legal system with EU requirements for digital operational resilience.
DORA in Poland: Is the New Law Necessary?
The DORA regulation is directly applicable, meaning it does not require implementation into
Polish law. However, certain provisions, such as designating supervisory authorities or
establishing detailed rules for financial entities, necessitate adjustments to national
legislation.
For this reason, the Ministry of Finance proposed amending laws, such as the Banking Law,
the Payment Services Act, and the Financial Instruments Trading Act. These amendments
are primarily technical and aim to facilitate the implementation of the DORA regulation in
Poland.
Scope of Application
The DORA regulation allows for excluding certain entities, such as credit unions (SKOKs) or
Bank Gospodarstwa Krajowego, from its scope. However, Polish legislators decided to
include these institutions to ensure uniform application of the regulations across the financial
sector.
The draft law exempts key banking and financial sector entities from most provisions of the Polish Cybersecurity Act. However, these entities are not entirely exempt from domestic regulations. Their obligations are adjusted to meet DORA requirements.
KNF as the Supervisory Authority
The draft law designates the Polish Financial Supervision Authority (KNF) as the body
responsible for overseeing compliance with DORA regulations. As part of its new powers,
the KNF will be able to:
● Supervise the activities of financial entities regarding digital resilience.
● Impose administrative penalties, including fines of up to PLN 20,869,500 or 10% of
annual revenue.
● Issue public statements identifying individuals or companies responsible for
violations.
● Temporarily suspend the use of services provided by key external ICT providers.
The KNF will also have the authority to request access to data transmission records and
require financial entities to report contractual arrangements related to ICT services.
Reporting of Contractual Arrangements
The draft law clarifies the reporting requirements for financial entities to the KNF, including:
● A 14-day deadline for notifying planned contractual arrangements regarding ICT
services for critical functions.
● Annual reports to be submitted by January 31 each year, starting in 2026.
Highlighting Innovation
The introduction of DORA regulations can also significantly contribute to the development of
technology in the financial sector. These regulations encourage the adoption of modern
solutions such as artificial intelligence (AI) and blockchain, which enhance digital security.
Implementing innovative technologies will enable financial institutions to better monitor risks,
streamline operations, and build customer trust. Integrating such tools can also support the
sector’s competitiveness on an international scale.
Entry into Force and Next Steps
The draft law will take effect on January 17, 2025. This date coincides with the start of the DORA regulation. Public consultation feedback is under review. The draft may undergo further modifications.
In the era of digitization, managing personal data becomes increasingly complex and demanding. In the global business space, understanding and complying with international data protection regulations is not just a legal issue but also an element that builds trust among customers and business partners. Discussing the major data protection systems will help companies better adjust their strategies.
Data Protection in the European Union: General Data Protection Regulation (GDPR)
The General Data Protection Regulation, known as GDPR, introduced in the European Union in 2018, is a key element in data regulation. It imposes a range of obligations on businesses, both those located in the EU and those processing EU residents’ data. Companies must ensure a high level of personal data protection, which includes obtaining clear consent for processing and notifying any data breaches. Moreover, GDPR allows individuals to access their data, rectify it, delete it, or limit its processing.
GDPR also requires companies to conduct regular audits and train employees to increase awareness and understanding of data protection principles. This comprehensive regulation requires companies not only to comply with the rules but also to actively manage data processing operations.
California Consumer Privacy Act (CCPA)
Like GDPR, CCPA, which took effect in California, provides state residents control over personal data collected by businesses. This act gives the right to access data, delete it, and opt-out of its sale. CCPA is often compared to GDPR due to similarities in the rights of data subjects, but it also contains unique elements such as clear definitions of data sale and detailed requirements for children’s privacy protection.
Companies operating in California must adjust their operations to meet CCPA requirements, often involving modifications to IT systems and data processing procedures. Effective CCPA implementation requires understanding the detailed requirements of the act and applying best data management practices.
Comparison with Other Global Regulations
Data protection regulations are not limited to Europe or California. Countries around the world, from Brazil to China, are introducing their own laws that aim to protect the privacy of their citizens. In Brazil, the General Data Protection Law (LGPD) introduces rules similar to GDPR, while in China, the Personal Information Protection Law (PIPL) responds to the challenges of digitization and massive data processing.
For international companies that must operate across different jurisdictions, it is crucial to understand the differences and similarities between these regulations. Complying with global regulations requires not only knowledge of the law but also flexibility in adapting business processes.
Strategies for Ensuring Compliance
Ensuring compliance with international data protection regulations requires a strategic approach. Companies should consider implementing harmonized data protection policies that meet the highest standards set by all applicable regulations. Additionally, investments in modern technologies help monitor data flow and manage it according to legal requirements. Regular employee training is also key to ensuring that everyone involved in data processing understands their obligations.
Conclusion
In the global economy, where data is the new “gold,” understanding and complying with international data protection regulations is essential for every company. This knowledge not only protects against the risk of legal penalties but also strengthens a company’s position as a responsible market participant. A proactive approach to personal data management and adherence to international data protection standards is crucial in building trust and lasting relationships with customers worldwide.
In an era where personal data is highly valuable, privacy protection becomes one of the most significant challenges for companies and organizations worldwide. In response to growing privacy concerns, pseudonymization emerges as a key tool that can help minimize the risk of data breaches while allowing further data processing. This article will explore what pseudonymization is, its advantages and disadvantages, and how it can be effectively implemented.
What is Pseudonymization?
Pseudonymization is a process of transforming personal data in such a way that it cannot be directly attributed to a specific individual without the use of additional information. This additional information is stored separately and is subject to strict technical and organizational measures to prevent unauthorized use. Unlike full anonymization, pseudonymization is a reversible process, meaning that data can be re-identified with appropriate measures.
Advantages of Pseudonymization
- Privacy Protection: This data transformation significantly reduces the risk of privacy breaches, which is crucial in the context of processing large datasets.
- Regulatory Compliance: Processing pseudonymized data complies with legal regulations, such as GDPR, which impose strict requirements on personal data protection.
- Data Security: Even in the case of a data breach, pseudonymization ensures that the data will not be immediately identifiable, reducing the risk of unauthorized use.
- Enabling Analysis and Research: It allows the use of data for analytical, research, and testing purposes without compromising the privacy of the individuals concerned.
Disadvantages and Risks of Pseudonymization
- Reversibility: The main challenge of pseudonymization is its reversibility. With appropriate additional information, it is possible to re-identify the data.
- Risk of De-anonymization: There is a risk that pseudonymized data could be identified by combining it with other datasets or if the pseudonymization techniques are insufficient.
- Securing Additional Information: It is crucial to securely store and manage the additional information that allows the reversal of the pseudonymization process. Otherwise, the risk of data identification increases.
- Limitations in Full Data Protection: Pseudonymization does not completely eliminate the risk of personal data breaches, as the data is still considered personal data subject to legal regulations.
Pseudonymization Techniques
- Data Masking: Concealing parts of data, e.g., replacing parts of a social security number with “X”.
- Hashing: Transforming personal data into unique strings (hashes) using a hashing function.
- Encryption: Applying encryption algorithms to transform data, which can only be decrypted with the appropriate key.
- Tokenization: Replacing actual data with special tokens that can be reversed using the appropriate mapping system.
Implementing Pseudonymization in Practice
To effectively implement pseudonymization, organizations should follow several key steps:
- Risk Assessment: Conducting a risk assessment to understand which data requires pseudonymization and which techniques will be most effective.
- Choosing Appropriate Techniques: Selecting suitable pseudonymization techniques based on the nature of the data and processing objectives.
- Employee Training: Training employees responsible for data processing on best practices and pseudonymization procedures.
- Monitoring and Auditing: Regularly monitoring and auditing pseudonymization processes to ensure they are effective and compliant with regulations.
Conclusion
Pseudonymization is a crucial tool in personal data protection, especially in the context of the growing number of data breach threats. Although it is not without its flaws, its advantages in terms of privacy protection and regulatory compliance make it a valuable element of data management strategies. The key to effectively utilizing pseudonymization is careful planning, selecting appropriate techniques, and regular monitoring and auditing processes to ensure maximum protection of personal data.
In an era where personal data is highly valuable, privacy protection becomes one of the most significant challenges for companies and organizations worldwide. In response to growing privacy concerns, pseudonymization emerges as a key tool that can help minimize the risk of data breaches while allowing further data processing. This article will explore what pseudonymization is, its advantages and disadvantages, and how it can be effectively implemented.
What is Pseudonymization?
Pseudonymization is a process of transforming personal data in such a way that it cannot be directly attributed to a specific individual without the use of additional information. This additional information is stored separately and is subject to strict technical and organizational measures to prevent unauthorized use. Unlike full anonymization, pseudonymization is a reversible process, meaning that data can be re-identified with appropriate measures.
Advantages of Pseudonymization
- Privacy Protection: This data transformation significantly reduces the risk of privacy breaches, which is crucial in the context of processing large datasets.
- Regulatory Compliance: Processing pseudonymized data complies with legal regulations, such as GDPR, which impose strict requirements on personal data protection.
- Data Security: Even in the case of a data breach, pseudonymization ensures that the data will not be immediately identifiable, reducing the risk of unauthorized use.
- Enabling Analysis and Research: It allows the use of data for analytical, research, and testing purposes without compromising the privacy of the individuals concerned.
Disadvantages and Risks of Pseudonymization
- Reversibility: The main challenge of pseudonymization is its reversibility. With appropriate additional information, it is possible to re-identify the data.
- Risk of De-anonymization: There is a risk that pseudonymized data could be identified by combining it with other datasets or if the pseudonymization techniques are insufficient.
- Securing Additional Information: It is crucial to securely store and manage the additional information that allows the reversal of the pseudonymization process. Otherwise, the risk of data identification increases.
- Limitations in Full Data Protection: Pseudonymization does not completely eliminate the risk of personal data breaches, as the data is still considered personal data subject to legal regulations.
Pseudonymization Techniques
- Data Masking: Concealing parts of data, e.g., replacing parts of a social security number with “X”.
- Hashing: Transforming personal data into unique strings (hashes) using a hashing function.
- Encryption: Applying encryption algorithms to transform data, which can only be decrypted with the appropriate key.
- Tokenization: Replacing actual data with special tokens that can be reversed using the appropriate mapping system.
Implementing Pseudonymization in Practice
To effectively implement pseudonymization, organizations should follow several key steps:
- Risk Assessment: Conducting a risk assessment to understand which data requires pseudonymization and which techniques will be most effective.
- Choosing Appropriate Techniques: Selecting suitable pseudonymization techniques based on the nature of the data and processing objectives.
- Employee Training: Training employees responsible for data processing on best practices and pseudonymization procedures.
- Monitoring and Auditing: Regularly monitoring and auditing pseudonymization processes to ensure they are effective and compliant with regulations.
Conclusion
Pseudonymization is a crucial tool in personal data protection, especially in the context of the growing number of data breach threats. Although it is not without its flaws, its advantages in terms of privacy protection and regulatory compliance make it a valuable element of data management strategies. The key to effectively utilizing pseudonymization is careful planning, selecting appropriate techniques, and regular monitoring and auditing processes to ensure maximum protection of personal data.
In an era of increasing cyber threats, protecting personal data has become a priority for companies worldwide. Effective data management requires the implementation of modern strategies and tools. Let’s explore practical approaches to data protection in the digital age.
Data Audit and Inventory
The first step in effective data management is conducting a thorough audit and inventory. Companies need to know what data they have, where it’s stored, and who has access. Regular audits help identify potential security gaps and minimize the risk of data breaches.
Data Encryption
It encryption is one of the most effective ways to protect information. Data should be encrypted both in transit and at rest to prevent unauthorized access. Modern encryption algorithms ensure that even if data is intercepted, it remains unreadable to third parties.
Access and Identity Management
Controlling access to data is crucial for its protection. Companies should implement the principle of least privilege, meaning employees only have access to the data necessary for their roles. Multi-factor authentication (MFA) should also be used to enhance security.
Regular Updates and Security Patches
Software used for data storage and processing must be regularly updated to protect against the latest threats. Companies should track new security vulnerabilities and promptly implement available patches.
Employee Training
Even the best technologies cannot replace well-trained employees. Companies should regularly train their teams on best practices in data protection. Employees need to be aware of threats like phishing and know how to respond.
Using Threat Monitoring and Detection Tools
Network monitoring and threat detection tools can help quickly identify and respond to suspicious activities. These systems use advanced algorithms and artificial intelligence to analyze network traffic and detect potential threats in real-time.
Conclusions
Protecting personal data in the digital age requires a comprehensive approach that combines technology, procedures, and employee education. Regular audits, data encryption, access management, software updates, training, and advanced monitoring tools are essential to effectively protect data from increasing cyber threats. Companies investing in these strategies not only secure their data but also build customer trust and comply with legal regulations, which is crucial in today’s world.
Every action we take online, from browsing websites to shopping online, is recorded thanks to small text files known as cookies. These inconspicuous tools are the foundation of personalization and advertising on the Internet, but they also raise serious privacy concerns.
The General Data Protection Regulation (GDPR) came into effect in the European Union in May 2018. It aimed to strengthen users’ control over their personal data. This article examines if users really control their data in the context of “GDPR cookies.” Furthermore, it explores the practical challenges and implications of these regulations.
A New Era of Privacy and GDPR Cookies
GDPR obliges companies to obtain explicit consent from users to process their data, including the use of cookies. Users can now choose which cookies to accept and which to reject, except for those essential for the site’s operation. This step increases “user data control” and helps users manage their online privacy. Moreover, it makes companies more transparent about their data collection practices. This fosters a trust-based relationship with users.
Consent for Cookies: Reality vs. Expectations
Although cookie banners that appear during the first visit to a site are intended to inform users and collect their consent, they are often designed in a way that can be misleading. Users are frequently overwhelmed with complicated information, which calls into question whether their consent is truly informed. This raises questions about the real “consent for cookies” and whether it complies with the intent of GDPR.
Websites vary in their approach to cookie consent. Some sites offer a detailed menu where users can precisely specify which cookies they accept. Other sites minimize the choice, which can lead to automatic acceptance of cookies. This shows how “user data control” is implemented differently across various websites.
Pressure Tactics and “Consent Fatigue”
The phenomenon of “consent fatigue,” where users, tired of being asked for permission, start to accept everything without thinking, is particularly dangerous. This can lead to unwanted consent for extensive online tracking and behavioral analysis. Such outcomes are contrary to the idea of “online privacy.”
Although GDPR theoretically increased users’ control over their data, the practical implementation of these regulations leaves much to be desired. It seems crucial to not only further refine the regulations but also develop technologies that are privacy-oriented from the outset. Additionally, educating users about the importance of their choices and the potential consequences is essential. This combined approach will better protect online privacy and ensure that user consent remains meaningful.
In May 2018, the introduction of the General Data Protection Regulation (GDPR) initiated a groundbreaking moment for the protection of personal data in the European Union. GDPR not only revolutionized the way personal data is protected within the EU but also had a significant impact on companies worldwide, promoting a uniform data protection standard across all member states.
Harmonization Leaps: From Fragmentation to Coherence
Before GDPR, diverse regulations in the EU challenged international enterprises. This created legal uncertainty and barriers to activity. GDPR introduced uniform rules, simplifying data management for companies. It also enhanced privacy protection for EU citizens.
Strengthening Citizens’ Rights and Operational Transparency
GDPR strengthened data subjects’ rights, introducing key mechanisms. These include the right to be forgotten, data access, and rectification. These initiatives boosted control over personal data. They also promoted transparency in organizational operations.
Global Impact of GDPR: Beyond EU Borders
GDPR significantly impacts not only enterprises operating within the European Union but also those outside its borders. Companies from outside the EU that process the data of EU citizens for offering goods or services, or monitoring their behavior, must also comply with GDPR. This global reach makes GDPR a de facto international standard for data protection.
The introduction of GDPR inspired many countries to review and improve their data protection regulations. For example, the California Consumer Privacy Act (CCPA) and the General Data Protection Law in Brazil (LGPD) draw from GDPR experiences, aiming to raise data protection standards in their territories. GDPR has become a global benchmark for data protection regulations, promoting high standards of personal data protection worldwide.
Enterprises Facing New Challenges
Implementing GDPR required international enterprises to adjust their data protection policies and procedures, which was a challenge for many. However, these initial investments in GDPR compliance will bring long-term benefits, increasing consumer trust and promoting a safer digital environment.
The Future of Data Protection: GDPR as the Standard
GDPR not only unified the digital market in the EU but also raised the bar for personal data protection worldwide. As a living document, GDPR will likely evolve to meet new technological and social challenges, continuing to inspire a global approach to privacy and data protection.
Inspiring Global Standards
GDPR sparked a global discussion on data protection, highlighting international cooperation’s importance. The exchange of best practices is crucial as the digital economy transcends borders. GDPR serves as a model, showing that data protection and individual rights can coexist with innovation and economic growth.
Further Challenges and Opportunities
Although GDPR has established strong foundations, many challenges lie ahead. The development of technologies such as artificial intelligence, machine learning, and the Internet of Things (IoT) poses new privacy and data protection questions for GDPR. In response, EU institutions and supervisory authorities must continually adjust interpretations and guidelines to ensure that GDPR continues to achieve its goals in a rapidly changing technological world.
Education and Awareness: Keys to Success
The key to GDPR’s success is education and raising awareness. It’s vital for both businesses and citizens. Understanding rights and obligations is essential. This builds a culture where privacy is a fundamental right. It should not be seen as an option. Organizations gain a competitive edge by treating data protection as integral. This builds trust and customer loyalty. They see it as part of their business strategy.
Summary: GDPR as the New Standard for Data Protection
GDPR has become a milestone in personal data protection. It established strong, uniform frameworks for Europe. It also inspires changes worldwide. Its impact on global enterprises is significant. It affects regulations in other countries and technological development. This underscores the importance of an adaptive stance towards data protection. A proactive stance is also crucial. We are now entering a new digital era. GDPR will continue to play a key role. It shapes the future of privacy and personal data protection. Operates on a global level. It sets standards for other countries and regions. These countries and regions will strive to meet these standards.
In a world where information is as valuable as currencies, the protection of personal data has transformed from an optional principle to a necessary imperative. Data anonymization emerges as a key guardian of privacy, enabling the safe use of technology’s benefits without compromising individual identities.
The Mysterious Guardian of Privacy: What is Data Anonymization?
Data anonymization is a technique used to transform personal data in a way that prevents the identification of the individuals to whom it pertains. This process allows for the use of data in research, analysis, and strategic decisions while simultaneously safeguarding privacy. Anonymization thus becomes not only a tool for protection but also a key to responsibly and ethically exploiting the potential of the vast data sets we generate every day.
The Roots of Anonymization: A Journey Through History
Data anonymization did not emerge overnight; it is the result of a long evolution of social awareness and legal regulations. This development ties to key acts like GDPR. It changed data protection in Europe and globally. The history of data anonymization moved from simple masking to advanced cryptography. This shows increasing recognition of privacy’s importance and its need for protection
Why is Anonymization So Important?
It has become a focal point for several reasons: from ensuring privacy to complying with global data protection regulations. It’s vital for individual protection and safe data use in many life areas. Anonymization builds trust between users and providers. It creates a secure space for digital interaction and innovation, ensuring each part adheres to the concise sentence structure.
Anonymization in Practice: The Polish Context
Following the path outlined by European regulations, Poland has adopted anonymization as a standard practice in data protection. Understanding anonymization in Polish law is essential for GDPR compliance. In Poland, it’s a legal need and part of corporate culture. It encourages transparency and responsibility in handling personal data. Each part of the explanation is concise and clear, adhering to the requirement.
Key Principles and Challenges of Anonymization
Data anonymization is not just a technical process but also involves a series of challenges: from the risk of re-identification to finding a balance between privacy and data utility. Exploring these issues reveals the complexity behind anonymization and underscores the need for continuous improvement of methods. For anonymization to be effective, it must be thoughtful and adapted to the specific context, requiring ongoing dialogue among experts from various fields.
Future Directions: What Does the Future Hold?
Data anonymization leads in privacy innovation. Yet, what lies ahead in this fast-changing area? AI and machine learning bring new anonymization challenges and opportunities. Anonymization’s future hinges on adapting to changes while balancing innovation and privacy. This revised version breaks down the content into concise segments, each within the specified limit.
Conclusion: Anonymization as a Data Protection Philosophy and Introduction to Nocturno
Data anonymization is more than a technical process; it is a philosophy of privacy protection in the digital world. Understanding its fundamentals, significance, and challenges is key for anyone involved in personal data processing. As technology evolves, so must our approach to anonymization, to ensure privacy protection in an increasingly connected world. In this context, a tool like Nocturno, offering advanced it capabilities while preserving data utility, becomes invaluable.
In today’s world, where every organization increasingly relies on data, data management and protection strategies are crucial. Proper data management not only ensures information security but also protects against potential financial and reputational losses.
The Essence of Data Management and Protection
Data management and protection involve not only securing information against unauthorized access but also protecting it from loss and destruction. An important element is data classification, allowing for the appropriate protection of the most valuable or risky information. Effective data protection encompasses the use of various tools and methods, such as backups, encryption, access management, and endpoint protection.
Consequences of Underestimating Data Protection
Improper data management can lead to serious consequences. Examples include data breaches, which can result in significant financial losses or even bankruptcy. Other scenarios include accidental or malicious data loss, ransomware attacks, unauthorized use of sensitive information, and disasters both natural and man-made, which can threaten entire IT systems.
Importance and Benefits of Implementing Effective Strategies
Implementing effective data management and protection strategies brings many benefits. This prepares businesses to deal with various threats, thus ensuring business continuity and data security. It is also key to maintaining customer trust and protecting brand reputation. Moreover, compliance with data privacy regulations, such as GDPR, is becoming an increasingly important indicator for business and consumer trust.
Implementing an Effective Data Management and Protection Strategy
Implementing an effective data management and protection strategy requires understanding and applying the right tools and methods. Key elements include access management, data encryption, creating backups, and implementing data loss prevention systems. Continuous employee training on data security and keeping security systems up to date in response to evolving threats are also important.
Conclusion
Data management and protection strategies are an indispensable element of conducting business in today’s digital world. Companies must not only protect their data but also continuously adapt their strategies to the changing threat landscape. Only in this way can they ensure the long-term stability and security of their operations.