Was ist das eigentlich? Cyberrisiken verständlich erklärt

Es wird viel über Cyberrisiken gesprochen. Oftmals fehlt aber das grundsätzliche Verständnis, was Cyberrisiken überhaupt sind. Ohne diese zu verstehen, lässt sich aber auch kein Versicherungsschutz gestalten.

Beinahe alle Aktivitäten des täglichen Lebens können heute über das Internet abgewickelt werden. Online-Shopping und Online-Banking sind im Alltag angekommen. Diese Entwicklung trifft längst nicht nur auf Privatleute, sondern auch auf Firmen zu. Das Schlagwort Industrie 4.0 verheißt bereits eine zunehmende Vernetzung diverser geschäftlicher Vorgänge über das Internet.

Anbieter von Cyberversicherungen für kleinere und mittelständische Unternehmen (KMU) haben Versicherungen die Erfahrung gemacht, dass trotz dieser eindeutigen Entwicklung Cyberrisiken immer noch unterschätzt werden, da sie als etwas Abstraktes wahrgenommen werden. Für KMU kann dies ein gefährlicher Trugschluss sein, da gerade hier Cyberattacken existenzbedrohende Ausmaße annehmen können. So wird noch häufig gefragt, was Cyberrisiken eigentlich sind. Diese Frage ist mehr als verständlich, denn ohne (Cyber-)Risiken bestünde auch kein Bedarf für eine (Cyber-)Versicherung.

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Exam Number : H13-523
Exam Name : HCNP-Cloud-FCDS
Vendor Name : Huawei
Update : Click Here to Check Latest Update
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H13-523 test Format | H13-523 Course Contents | H13-523 Course Outline | H13-523 test Syllabus | H13-523 test Objectives

Exam Details:
- Number of Questions: The H13-523 HCNP-Cloud-FCDS test typically consists of multiple-choice questions and hands-on lab tasks. The exact number of questions may vary.

- Time: Candidates are usually given around 90 to 120 minutes to complete the exam. It is important to manage time effectively to answer all the questions and complete the lab tasks within the allocated time.

Course Outline:
The HCNP-Cloud-FCDS (Huawei Certified Network Professional-Cloud-FCDS) certification test focuses on validating the knowledge and skills required to design and deploy cloud data center networks using Huawei CloudFabric Solution. The course outline may include the following key areas:

1. Cloud Data Center Networking:
- Overview of cloud data center networking
- Introduction to CloudFabric Solution and architecture
- Cloud data center network planning and design principles
- Cloud data center network deployment models

2. Cloud Data Center Fabric Design:
- Underlay and overlay network design
- Cloud data center interconnection design
- Designing network virtualization using VXLAN and SDN technologies
- Quality of Service (QoS) design for cloud data center networks

3. Cloud Data Center Network Security:
- Cloud data center security requirements and challenges
- Designing security policies and access control mechanisms
- Implementing network security services in cloud data centers
- Disaster recovery and business continuity planning

4. Cloud Data Center Network Operations and Maintenance:
- Network device deployment and configuration
- Monitoring and troubleshooting cloud data center networks
- Performance optimization and capacity planning
- Software-defined networking (SDN) management and operations

Exam Objectives:
The objectives of the H13-523 HCNP-Cloud-FCDS test typically include:
- Assessing the candidate's understanding of cloud data center networking concepts and principles.
- Evaluating the candidate's ability to design and deploy CloudFabric Solution-based cloud data center networks.
- Testing the candidate's knowledge of cloud data center network security and disaster recovery planning.
- Assessing the candidate's skills in operating and maintaining cloud data center networks.

Exam Syllabus:
The specific test syllabus for the H13-523 HCNP-Cloud-FCDS test may vary, but it generally includes the following topics:

1. Cloud Data Center Networking:
- Cloud data center networking concepts and technologies
- CloudFabric Solution architecture and components
- Network planning and design principles for cloud data centers
- Cloud data center network deployment models

2. Cloud Data Center Fabric Design:
- Underlay and overlay network design principles
- Cloud data center interconnection design considerations
- Network virtualization using VXLAN and SDN technologies
- Quality of Service (QoS) design for cloud data center networks

3. Cloud Data Center Network Security:
- Cloud data center security requirements and challenges
- Designing security policies and access control mechanisms
- Network security services in cloud data centers
- Disaster recovery and business continuity planning

4. Cloud Data Center Network Operations and Maintenance:
- Network device deployment and configuration
- Monitoring and troubleshooting cloud data center networks
- Performance optimization and capacity planning
- Software-defined networking (SDN) management and operations

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Huawei HCNP-Cloud-FCDS PDF Braindumps


Huawei Cloud evolves to cloud ‘for everyone’

No result found, try new keyword!Jay Zhou, Managing Director of Huawei Cloud. Huawei Cloud is stepping up its focus on innovation as a value proposition to enhance its standing as a cloud for everyone. This emerged at Huawei Eco ...

HUAWEI CLOUD Releases Pangu 3.0

Shaping the Future beyond Chatbots: Huawei focuses on AI's Impact on Industry Transformation

DONGGUAN, China, July 10, 2023 /PRNewswire/ -- Huawei is bringing forth new industry opportunities and technological advancements driven by the AI wave. During his keynote speech at Huawei's Developer Conference, Zhang Ping'an, Huawei Executive Director and CEO of HUAWEI CLOUD, unveiled the Pangu Model 3.0 and Ascend AI cloud services. These innovations aim to empower industry customers and partners and unlock the potential of artificial intelligence for transformative growth across a range of sectors.

Mr. Zhang said: Mr. Zhang said: "Huawei Cloud Pangu models will empower everyone from every industry with an intelligent assistant, making them more productive and efficient."

Pangu Models 3.0 is a system of pre-trained models that can be quickly adapted to meet scenario-specific needs and address complex challenges across multiple industries. By leveraging large-scale data sets and machine learning algorithms, Pangu 3.0 is set to revolutionize the industrial application of AI in diverse areas such as weather forecasting, drug development, fault identification in trains, and the mining industry.

Mr. Zhang said: "Huawei Cloud Pangu models will empower everyone from every industry with an intelligent assistant, making them more productive and efficient. They will uphold their mission of "AI for Industries", and use Pangu models to reshape all industries with AI."

Prestigious science journal Nature recently published a paper describing the enormous potential that artificial intelligence holds for weather prediction. The paper described how Huawei's Pangu Weather AI Model team developed a precise and accurate global AI weather forecast system based on deep learning using 43 years of data.

Pangu Weather is the first AI prediction model to demonstrate higher precision than traditional numerical weather forecast methods. The model allows a 10,000x improvement in prediction speed, reducing global weather prediction time to just seconds. The model focuses on key elements and common time ranges, allowing for more precise weather forecasts. Notably, it has accurately predicted the trajectories and landing times of typhoons, including the exact Typhoon Mawar in May this year, demonstrating its exceptional capabilities.

On July 18, Huawei and Shandong Energy Group will jointly launch the first commercial case of Pangu Mining Model in Jinan, Shandong province. It is a ground-breaking solution that will enhance safety, efficiency, and productivity. Traditional mining operations are inherently risky, requiring extensive manpower and posing significant technical and safety challenges. However, with the implementation of digital technologies, augmented by the Pangu Mining Model, the industry is witnessing a transformative shift. By importing massive amounts of data for model pre-training, the Pangu Mining Model enables unsupervised self-learning, covering over 300 core scenarios in coal mining operations. From digging and drivage to machinery, transport, and communication, the model streamlines AI applications in numerous coal mining scenarios.

Transportation system failures in coal mines are a significant issue, resulting in decreased coal output and financial losses. Addressing this challenge, Huawei's Pangu Mining Model incorporates an AI-based intelligent monitoring system that accurately identifies exceptions in the transportation system, such as large coal blocks and anchors, with an exceptional accuracy rate of up to 98%.

The railway industry also benefits immensely from Huawei's AI advancements. Through the implementation of the Pangu Railway Model, the safety and efficiency of freight trains are significantly improved. Previous fault identification processes within Train Freight Detection Systems (TFDS) have been labour-intensive, inefficient, and costly. On railways, the Pangu Railway Model can accurately identify 67 types of freight cars and over 430 types of faults found on railways and freight cars. It can quickly scan millions of images captured by the railway TFDS system and filter out 95% of the images that are fault-free. This way, train inspectors can focus on the remaining images, and this helps them Boost both efficiency and accuracy.

These case studies exemplify the transformative power of AI in industrial applications. By harnessing the capabilities of Huawei's Pangu 3.0 and Ascend AI cloud services, businesses can unlock new levels of safety, efficiency, and productivity, driving substantial growth and competitive advantage in their respective industries. Huawei's commitment to innovation and the development of advanced AI solutions underscores its commitment to providing cutting edge solutions for customers. 

Huawei Cloud evolves to cloud ‘for everyone’

Jay Zhou, Managing Director of Huawei Cloud.

Jay Zhou, Managing Director of Huawei Cloud.

Huawei Cloud is stepping up its focus on innovation as a value proposition to enhance its standing as a cloud for everyone. This emerged at Huawei Eco-Connect Sub-Saharan Africa 2023, in Sandton, where Jay Zhou, MD of Huawei Cloud South Africa, outlined how Huawei Cloud underpins key industries’ transformation and growth.

Zhou said: “In the ICT industry, the cloud is still the future of ICT and the foundation of digital transformation. What has changed over the past year is that more applications are now going to the cloud, including virtual reality, automation and warehousing.

He highlighted Huawei Cloud’s growth over the past year: “Globally, they have increased their global regions, with two new regions in Ireland and Turkey. They increased their global availability zones, which includes the new zone launched in Johannesburg last year,” he said. Huawei Cloud now has 2 800 content delivery nodes (CDNs) – including the new Cape Town CDN, which went online during the first week in July.

Huawei Cloud’s global revenue almost doubled last year, with a more than 40% increase in the number of partners and over 55% increase in the number of developers. Huawei has yet again increased investment in R&D, allocating 25.1% of its total annual revenue in 2022 to R&D. At the end of 2022, over 114 000+ employees, or 55.4% of its workforce, worked in R&D.

“Last year, they spent around USD25 billion on new technologies, new data centres. This is important because this is the reason they can keep innovating in this industry,” he said.

Zhou highlighted Huawei’s own ERP system as an example of the innovation and progress made in the company. “In the past, Huawei’s Oracle ERP system was a very complicated ERP system. It reached its performance limits and couldn’t be expanded. To generate a report on fulfilment would take us around 90 minutes. To overcome these challenges, Huawei decided to develop their own ERP system – MetaERP – and GaussDB distributed relational database. This reduced their reporting time from 90 minutes to 15 seconds, and fulfilment report time from 23 minutes to nine seconds.

“Huawei needed to supply the world another choice in ERP, so they will launch this product to market in the near future,” Zhou said.

“In South Africa, they have seen an overall increase and growth across business KPIs – revenue, customer base and number of partners. Their services have also increased in South Africa. A Gartner report released in April this year stated that Huawei Cloud SA is already number three in infrastructure as a service – this is a big milestone for Huawei Cloud, achieved with the support of customers and partners.”

“We remain humble because they still have a long way to go. Some things they won’t change – their position, slogan and value propositions, including their outstanding technology, support levels and value propositions such as training won’t change. However, they are adding innovation to the value they create. Innovation is leading us to the future,” he said.

Cloud innovation for key sectors

“We cover all key industries including fintech, e-commerce, education, media and government. My aim is to build a cloud for everyone, in this market, which is affordable, trusted and innovative,” he said. “We can assist organisations even if they have limited budget or technical capabilities, or they need a partner to develop new solutions with them.”

Huawei’s AI innovations are making waves across sectors, such as its Pangu-Weather AI model, the first AI prediction model to demonstrate higher precision than traditional numerical weather forecast methods. Nature, one of the world's top scientific journals, recently published a paper describing how to develop a precise and accurate global AI weather forecast system based on deep learning using 43 years of data. In scientific trials, the Pangu-Weather model was found to accurately predict in seconds fine-grained meteorological features, including humidity, wind speed, temperature and sea level pressure.

“In government, a very traditional sector, I strongly believe hybrid cloud is the future because of data privacy concerns. Hybrid clouds can provide flexibility to the government. You can select which data to keep in your own data centre, and which data should go to the cloud. Huawei is the only provider that can do both, so they have a huge advantage in the hybrid cloud area,” he said. “We unify the architecture to enable customers to have a unified experience. They already provide a private cloud to SITA and are now busy with the public cloud.”

In education, online education is the future, and it depends on the cloud, he noted. “Concurrency is an important factor in this sector. In a test with Unisa, they reached 30 000 concurrent users writing exams at the same time – a record in South Africa. At UNIZULU, they provided a unique AI anti-cheating system.”

In the media sector, Zhou said Huawei Cloud’s E-cubed model (efficiency, experience and evolution) was driving growth and innovation. Huawei Cloud’s media innovations include rendering farms and high definition, low bitrate technologies to reduce latency in live broadcasts.

In finance and e-commerce, Huawei Cloud works with leading enterprises globally and across Africa to help them scale, overcome challenges and move into new markets.

Huawei helps e-commerce businesses overcome challenges such as flexibility, cost and future-proofing through scalable and secure infrastructure, transparent pricing and in-country support. For fintechs, Huawei Cloud enables scale and profitability, customer acquisition and robust governance, compliance and security across multiple countries.

“My aim is to bring their global innovations as well as global and local support to South Africa, to build a cloud for everyone – all enterprises, SMEs and enterprises in this country,” Zhou concluded.


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Warum sind Cyberrisiken so schwer greifbar?

Als mehr oder weniger neuartiges Phänomen stellen Cyberrisiken Unternehmen und Versicherer vor besondere Herausforderungen. Nicht nur die neuen Schadenszenarien sind abstrakter oder noch nicht bekannt. Häufig sind immaterielle Werte durch Cyberrisiken in Gefahr. Diese wertvollen Vermögensgegenstände sind schwer bewertbar.

Obwohl die Gefahr durchaus wahrgenommen wird, unterschätzen viele Firmen ihr eigenes Risiko. Dies liegt unter anderem auch an den Veröffentlichungen zu Cyberrisiken. In der Presse finden sich unzählige Berichte von Cyberattacken auf namhafte und große Unternehmen. Den Weg in die Presse finden eben nur die spektakulären Fälle. Die dort genannten Schadenszenarien werden dann für das eigene Unternehmen als unrealistisch eingestuft. Die für die KMU nicht minder gefährlichen Cyber­attacken werden nur selten publiziert.

Aufgrund der fehlenden öffentlichen Meldungen von Sicherheitsvorfällen an Sicherheitsbehörden und wegen der fehlenden Presseberichte fällt es schwer, Fakten und Zahlen zur Risikolage zu erheben. Aber ohne diese Grundlage fällt es schwer, in entsprechende Sicherheitsmaßnahmen zu investieren.

Erklärungsleitfaden anhand eines Ursache-Wirkungs-Modells

Häufig nähert man sich dem Thema Cyberrisiko anlass- oder eventbezogen, also wenn sich neue Schaden­szenarien wie die weltweite WannaCry-Attacke entwickeln. Häufig wird auch akteursgebunden beleuchtet, wer Angreifer oder Opfer sein kann. Dadurch begrenzt man sich bei dem Thema häufig zu sehr nur auf die Cyberkriminalität. Um dem Thema Cyberrisiko jedoch gerecht zu werden, müssen auch weitere Ursachen hinzugezogen werden.

Mit einer Kategorisierung kann das Thema ganzheitlich und nachvollziehbar strukturiert werden. Ebenso hilft eine solche Kategorisierung dabei, eine Abgrenzung vorzunehmen, für welche Gefahren Versicherungsschutz über eine etwaige Cyberversicherung besteht und für welche nicht.

Die Ursachen sind dabei die Risiken, während finanzielle bzw. nicht finanzielle Verluste die Wirkungen sind. Cyberrisiken werden demnach in zwei Hauptursachen eingeteilt. Auf der einen Seite sind die nicht kriminellen Ursachen und auf der anderen Seite die kriminellen Ursachen zu nennen. Beide Ursachen können dabei in drei Untergruppen unterteilt werden.

Nicht kriminelle Ursachen

Höhere Gewalt

Häufig hat man bei dem Thema Cyberrisiko nur die kriminellen Ursachen vor Augen. Aber auch höhere Gewalt kann zu einem empfindlichen Datenverlust führen oder zumindest die Verfügbarkeit von Daten einschränken, indem Rechenzentren durch Naturkatastrophen wie beispielsweise Überschwemmungen oder Erdbeben zerstört werden. Ebenso sind Stromausfälle denkbar.

Menschliches Versagen/Fehlverhalten

Als Cyberrisiken sind auch unbeabsichtigtes und menschliches Fehlverhalten denkbar. Hierunter könnte das versehentliche Veröffentlichen von sensiblen Informationen fallen. Möglich sind eine falsche Adressierung, Wahl einer falschen Faxnummer oder das Hochladen sensibler Daten auf einen öffentlichen Bereich der Homepage.

Technisches Versagen

Auch Hardwaredefekte können zu einem herben Datenverlust führen. Neben einem Überhitzen von Rechnern sind Kurzschlüsse in Systemtechnik oder sogenannte Headcrashes von Festplatten denkbare Szenarien.

Kriminelle Ursachen


Hackerangriffe oder Cyberattacken sind in der Regel die Szenarien, die die Presse dominieren. Häufig wird von spektakulären Datendiebstählen auf große Firmen oder von weltweiten Angriffen mit sogenannten Kryptotrojanern berichtet. Opfer kann am Ende aber jeder werden. Ziele, Methoden und auch das Interesse sind vielfältig. Neben dem finanziellen Interesse können Hackerangriffe auch zur Spionage oder Sabotage eingesetzt werden. Mögliche Hackermethoden sind unter anderem: Social Engineering, Trojaner, DoS-Attacken oder Viren.

Physischer Angriff

Die Zielsetzung eines physischen Angriffs ist ähnlich dem eines Hacker­angriffs. Dabei wird nicht auf die Tools eines Hackerangriffs zurückgegriffen, sondern durch das physische Eindringen in Unternehmensgebäude das Ziel erreicht. Häufig sind es Mitarbeiter, die vertrauliche Informationen stehlen, da sie bereits den notwendigen Zugang zu den Daten besitzen.


Obwohl die Erpressung aufgrund der eingesetzten Methoden auch als Hacker­angriff gewertet werden könnte, ergibt eine Differenzierung Sinn. Erpressungsfälle durch Kryptotrojaner sind eines der häufigsten Schadenszenarien für kleinere und mittelständische Unternehmen. Außerdem sind auch Erpressungsfälle denkbar, bei denen sensible Daten gestohlen wurden und ein Lösegeld gefordert wird, damit sie nicht veröffentlicht oder weiterverkauft werden.

Ihre Cyberversicherung sollte zumindet folgende Schäden abdecken:


  • Soforthilfe und Forensik-Kosten (Kosten der Ursachenermittlung, Benachrichtigungskosten und Callcenter-Leistung)
  • Krisenkommunikation / PR-Maßnahmen
  • Systemverbesserungen nach einer Cyber-Attacke
  • Aufwendungen vor Eintritt des Versicherungsfalls

Cyber-Drittschäden (Haftpflicht):

  • Befriedigung oder Abwehr von Ansprüchen Dritter
  • Rechtswidrige elektronische Kommunikation
  • Ansprüche der E-Payment-Serviceprovider
  • Vertragsstrafe wegen der Verletzung von Geheimhaltungspflichten und Datenschutzvereinbarungen
  • Vertragliche Schadenersatzansprüche
  • Vertragliche Haftpflicht bei Datenverarbeitung durch Dritte
  • Rechtsverteidigungskosten


  • Betriebsunterbrechung
  • Betriebsunterbrechung durch Ausfall von Dienstleister (optional)
  • Mehrkosten
  • Wiederherstellung von Daten (auch Entfernen der Schadsoftware)
  • Cyber-Diebstahl: elektronischer Zahlungsverkehr, fehlerhafter Versand von Waren, Telefon-Mehrkosten/erhöhte Nutzungsentgelte
  • Cyber-Erpressung
  • Entschädigung mit Strafcharakter/Bußgeld
  • Ersatz-IT-Hardware
  • Cyber-Betrug