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 : Google-PCSE
Exam Name : Professional Cloud Security Engineer
Vendor Name : Google
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A Professional Cloud Security Engineer enables organizations to design and implement a secure infrastructure on Google Cloud Platform. Through an understanding of security best practices and industry security requirements, this individual designs, develops, and manages a secure infrastructure leveraging Google security technologies. The Cloud Security Professional should be proficient in all aspects of Cloud Security including managing identity and access management, defining organizational structure and policies, using Google technologies to provide data protection, configuring network security defenses, collecting and analyzing Google Cloud Platform logs, managing incident responses, and an understanding of regulatory concerns.

The Professional Cloud Security Engineer test assesses your ability to:

- Configure access within a cloud solution environment

- Configure network security

- Ensure data protection

- Manage operations within a cloud solution environment

- Ensure compliance

1. Configuring access within a cloud solution environment

1.1 Configuring Cloud Identity. Considerations include:

- Managing Cloud Identity

- Configuring Google Cloud Directory Sync

- Management of super administrator account

1.2 Managing user accounts. Considerations include:

-Designing identity roles at the project and organization level

-Automation of user lifecycle management process

-API usage

1.3 Managing service accounts. Considerations include:

- Auditing service accounts and keys

- Automating the rotation of user-managed service account keys

- Identification of scenarios requiring service accounts

- Creating, authorizing, and securing service accounts

- Securely managed API access management

1.4 Managing authentication. Considerations include:

- Creating a password policy for user accounts

- Establishing Security Assertion Markup Language (SAML)

- Configuring and enforcing two-factor authentication

1.5 Managing and implementing authorization controls. Considerations include:

- Using resource hierarchy for access control

- Privileged roles and separation of duties

- Managing IAM permissions with primitive, predefined, and custom roles

- Granting permissions to different types of identities

- Understanding difference between Google Cloud Storage IAM and ACLs

1.6 Defining resource hierarchy. Considerations include:

- Creating and managing organizations

- Resource structures (orgs, folders, and projects)

- Defining and managing organization constraints

- Using resource hierarchy for access control and permissions inheritance

- Trust and security boundaries within GCP projects

2. Configuring network security

2.1 Designing network security. Considerations include:

- Security properties of a VPC network, VPC peering, shared VPC, and firewall rules

- Network isolation and data encapsulation for N tier application design

- Use of DNSSEC

- Private vs. public addressing

- App-to-app security policy

2.2 Configuring network segmentation. Considerations include:

- Network perimeter controls (firewall rules; IAP)

- Load balancing (global, network, HTTP(S), SSL proxy, and TCP proxy load balancers)

2.3 Establish private connectivity. Considerations include:

- Private RFC1918 connectivity between VPC networks and GCP projects (Shared VPC, VPC peering)

- Private RFC1918 connectivity between data centers and VPC network (IPSEC and Cloud Interconnect).

- Enable private connectivity between VPC and Google APIs (private access)

3. Ensuring data protection

3.1 Preventing data loss with the DLP API. Considerations include:

- Identification and redaction of PII

- Configuring tokenization

- Configure format preserving substitution

- Restricting access to DLP datasets

3.2 Managing encryption at rest. Considerations include:

- Understanding use cases for default encryption, customer-managed encryption keys (CMEK), and customer-supplied encryption keys (CSEK)

- Creating and managing encryption keys for CMEK and CSEK

- Managing application secrets

- Object lifecycle policies for Cloud Storage

- Enclave computing

- Envelope encryption

4. Managing operations within a cloud solution environment

4.1 Building and deploying infrastructure. Considerations include:

- Backup and data loss strategy

- Creating and automating an incident response plan

- Log sinks, audit logs, and data access logs for near-real-time monitoring

- Standby models

- Automate security scanning for Common Vulnerabilities and Exposures (CVEs) through a CI/CD pipeline

- Virtual machine image creation, hardening, and maintenance

- Container image creation, hardening, maintenance, and patch management

4.2 Building and deploying applications. Considerations include:

- Application logs near-real-time monitoring

- Static code analysis

- Automate security scanning through a CI/CD pipeline

4.3 Monitoring for security events. Considerations include:

- Logging, monitoring, testing, and alerting for security incidents

- Exporting logs to external security systems

- Automated and manual analysis of access logs

- Understanding capabilities of Forseti

5. Ensuring compliance

5.1 Comprehension of regulatory concerns. Considerations include:

- Evaluation of concerns relative to compute, data, and network.

- Security shared responsibility model

- Security guarantees within cloud execution environments

- Limiting compute and data for regulatory compliance

5.2 Comprehension of compute environment concerns. Considerations include:

- Security guarantees and constraints for each compute environment (Compute Engine, Google Kubernetes Engine, App Engine)

- Determining which compute environment is appropriate based on company compliance standards

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Despite Slowing Growth, the Battle for Artificial Intelligence (AI) Domination Between Google and Microsoft Is Kicking Off in the Cloud

After years of frantic growth, cloud computing adoption has taken a breather over the past year or so. There's little doubt that last year's downturn -- accompanied by the worst stock market performances in over a decade -- was a contributing factor as businesses reined in spending and positioned themselves to ride out the macroeconomic storm.

Things appear to have turned the corner in 2023. Each of the major market indexes has rebounded more than 20% from their respective bottoms, with some investors believing we're at the start of the next bull market.

Given the excitement surrounding artificial intelligence (AI) in latest months, investors wondered about the accelerating adoption of AI and what impact it might have on cloud growth. Rivals Microsoft (MSFT 1.41%) and Alphabet (GOOGL 2.55%) (GOOG 2.71%) both issued their quarterly financial reports after the market close on Tuesday, and it was clear that AI hasn't jump-started cloud infrastructure revenue -- at least not yet.

A person studying stock charts and graphs on multiple computer monitors.

Image source: Getty Images.

Where's the AI boost?

Microsoft helped kick off the current battle for AI supremacy with its $13 billion investment in OpenAI and ChatGPT, as well as integration of generative AI into its Bing search engine. What quickly followed was a wholesale integration of AI tools across its vast software empire -- particularly its Azure Cloud. Given that rapid pivot, investors hoped to see the first green shoots of expanding growth, but that wasn't the case.

For its fiscal 2023 fourth quarter (ended June 30), Microsoft said that Azure and other cloud services grew 26% year over year. Its growth rate has been steadily eroding since Microsoft announced Azure cloud growth of 51% in mid-2021, making this quarter its slowest pace of growth in two years. On the bright side, Microsoft Cloud surpassed $110 billion in annual revenue, with Azure making up 50% of the total for the first time. 

CEO Satya Nadella noted, "We continue to see more cloud migrations, as it remains early when it comes to long-term cloud opportunity." Nadella went on to say that "more than 11,000 organizations" had adopted Azure OpenAI Service.  

Given the complexity of moving to the cloud, there's a lag between when a business makes a decision and the revenue appears on Microsoft's (or any cloud provider's) financial statements. Furthermore, Microsoft only recently announced the availability and pricing of its existing AI products and services, so it may be another quarter or two before AI begins to move the needle on Microsoft's cloud results.

Holding the line

Alphabet was widely derided as being slow off the mark, responding to Microsoft's AI-infused Bing with a not-ready-for-prime-time Bard, but the company has since made up for its initial missteps. At its I/O developer conference in May, the Google parent announced plans to integrate AI across a broad range of products and services. As with Microsoft, investors had hoped to see a boost to Google's Cloud results, but none was forthcoming -- at least not yet.

For the second quarter, Alphabet said Google Cloud generated growth of 28% year over year -- unchanged sequentially -- and enough to retain its title as the fastest growing of the "big three" cloud providers. Like Microsoft, Google's cloud growth has been steadily decelerating since it peaked at 54% in mid-2021, making this quarter its slowest growth rate in two years. Just last quarter, the company announced that Google Cloud had turned a profit for the first time, a trend that continued in Q2.

On the conference call, Sundar Pichai said, "Our new generative AI offerings are expanding their total addressable market and winning new customers," which the company plans to upsell to its installed base of 9 million Google Workspace customers. He went on to point out that 70% of generative AI unicorns are Google Cloud customers and that the number of customers using its generative AI tools has grown more than 15 times between April and June.  

As I pointed out, it will likely be another quarter or two before they begin to see the impact of AI on Google's cloud results.

A birds-eye view of cloud AI

While this slowing cloud growth might concern Microsoft and Alphabet investors, it's worth putting this into the context of the broader cloud infrastructure growth. Global cloud infrastructure services spending is expected to grow 23% in 2023, down from 29% growth last year and 35% in 2021. 

Azure and Google Cloud are outpacing the overall industry forecast at 26% and 28%, respectively, which suggests they continue to steal market share from cloud infrastructure leader Amazon Web Services. We'll likely have more clarity when Amazon reports its second-quarter results on Aug. 3. 

Finally, the industry outlook likely preceded the current AI gold rush, so overall cloud growth could easily exceed expectations this year. That will be something to watch carefully over the coming quarters.

Suzanne Frey, an executive at Alphabet, is a member of The Motley Fool's board of directors. John Mackey, former CEO of Whole Foods Market, an Amazon subsidiary, is a member of The Motley Fool's board of directors. Danny Vena has positions in Alphabet, Amazon.com, and Microsoft. The Motley Fool has positions in and recommends Alphabet, Amazon.com, and Microsoft. The Motley Fool has a disclosure policy.

Google Cloud & CareCloud Announce Landmark Collaboration To Bring Generative AI To Outpatient Healthcare Settings

On Thursday, CareCloud, Inc. announced a landmark collaboration with Google Cloud to enable revolutionary generative AI technology and capabilities to benefit small and medium sized healthcare practices and outpatient providers.

Needless to say, Google Cloud is an industry titan and has made significant strides in not only the AI space, but has also achieved compelling progress in its healthcare work. CareCloud is known for its extensive work with small and medium sized healthcare organizations and its significant experience with technology based revenue cycle management, digital health, and provider services. Given its work in the industry for nearly two decades, CareCloud has collected extensive clinical and financial data sets— which now, by harnessing Google Cloud’s generative AI stack and capabilities, can be brought to life and be used in meaningful ways via search and recommendation generation.

Integration of this technology will enable practices that use CareCloud’s services to unlock a new realm of value: “For example, when a patient comes into a clinic using CareCloud, the generative AI-based solution will surface relevant information and assist clinicians and doctors as they recommend a plan of care, including medications, lab orders, diagnoses, and procedures based on their previous clinical history and current symptoms. Based on the recommended diagnoses, patient insurance, and other information, the solution will be able to show the clinic and patient what costs would be paid by the insurance and what amount would be owed by the patient.”

Aashima Gupta, Global Director of Healthcare Strategy and Solutions at Google Cloud, explains how the technology provides unique value: “Organizations need more than just large language models (LLMs). There is a huge concern in the healthcare setting about hallucinations [which, per Google Cloud, refers to “when a generative AI model outputs nonsense or invented information in response to a prompt”] The technology uses retrieval augmented generation (RAG) combined with LLMs, which powers and enhances their enterprise search functions to the next level […] this is where the use cases become more promising and the results become more grounded and fact based.”

Enterprise Search (via Gen App Builder) is Google Cloud’s revolutionary technology which allows organizations to quickly build generative AI powered search engines to make use of their structured or unstructured data sets. Just last month, Google Cloud announced a groundbreaking partnership to bring Enterprise Search to renowned healthcare organization, Mayo Clinic.

BARCELONA, SPAIN - MARCH 2023: People walk in front of the Google Cloud's booth during the Mobile ... [+] World Congress in Barcelona, Spain. (Photo by Cesc Maymo/Getty Images)

Getty Images

Hadi Chaudhry, CEO and President of CareCloud, is enthusiastic about the collaboration: “The vision for all of this technology is to use it to better the clinical experience for the patient and the physicians; they can leverage Google Cloud’s generative AI to take [our extensive data sets] further [and] use this data in a meaningful way…together, using Google’s technology, the right models can be trained for useful purposes.”

Adeel Sarwar, CTO of CareCloud, described potential use cases for the technology, starting from improving the pre-visit patient check-in process with smarter intake questions, to the system providing tailored recommendations and evidence-based guidelines curated to the patient’s need during the clinic visit, and finally, concluding with the system providing billing and financial information post-visit.

Importantly, Google Cloud has made it a top priority to develop its capabilities with strict adherence to Responsible AI guidelines: “Since 2018, Google’s AI Principles have served as a living constitution, keeping us motivated by a common purpose. Their center of excellence, the Responsible Innovation team, guides how they put these principles to work company-wide, and informs Google Cloud’s approach to building advanced technologies, conducting research, and drafting their policies.” Congruently, the company has placed meaningful guardrails to prioritize privacy, prevent bias, and enforce ethical development.

Overall, this venture is an incredible boon to ambulatory healthcare practices. While the majority of technology giants have thus far focused on providing AI capabilities primarily to large organizations, Google Cloud and CareCloud’s work in providing access to an often overlooked yet critically important sector of the healthcare infrastructure is a key step in improving healthcare outcomes for generations to come. Indeed, a commitment to continued innovation and meaningful collaborations such as this, premised by a steadfast goal of improving quality of care, display great promise for the future of healthcare.

Google stock jumped 10% this week, fueled by cloud, ads and hope in A.I.

Google CEO Sundar Pichai speaks onstage during the annual Google I/O developers conference in Mountain View, California, May 8, 2018.

Stephen Lam | Reuters

Shares of Alphabet's stock jumped 10% this week after the company reported second quarter earnings that showed growth despite a tough ad market.

Share price for the Google parent company reached $132.58 as of Friday's market close, representing its highest close price in more than a year.

Google has faced a lot of noise this year around the health of its core search business, due to a slumping digital ad market and the longer-term potential for artificial intelligence chatbots to take traffic.

But, its second quarter earnings report Tuesday, the company showed it has any numbers of ways to succeed despite those very real challenges. Among growth, revenue rose 7% to $74.6 billion from $69.7 billion in the year-earlier period.

Online advertising, which has been a difficult market for the past year, remains slow because of economic concerns and corporate cost cutting. Google's ad revenue only increased 3.3% from a year earlier, but that's an improvement from the first quarter, when ad revenue fell. And it came after Snap's second-quarter report issued a disappointing forecast, sending the stock down almost 20%.

Google's YouTube and Cloud units also showed revenue growth despite competition.

"Revenue growth outpaced expense growth for the first time in a while," wrote Bernstein analysts in a note following the earnings report.

Google's stock jump also came despite Alphabet chief finance officer Ruth Porat, who has overseen companywide cost-cutting, announced she's leaving that role after eight years to assume the newly created position of president and chief investment officer.

Search revenue, which makes up the majority of Google's ad business, also saw steady growth during the quarter. That was a relief to investors, some of whom have grown concerned that traditional search users will be moving to generative AI chatbots from OpenAI and Microsoft, the startup's main investor, for their online queries.

"We believe this bodes well for the broader online advertising environment," Citi analysts wrote in a note about Google's earnings. "That said, they do not believe this is a 'rising-tide' environment, rather they favor those platforms that have invested in newer products and services."


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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