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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ChatGPT Cheat Sheet: A Complete Guide for 2024

someone using ChatGPT on a laptop Image: irissca/Adobe Stock

ChatGPT reached 100 million monthly users in January 2023, according to a UBS report, making it the fastest-growing consumer app in history. The business world is interested in ChatGPT too, trying to find uses for the writing AI throughout many different industries. This cheat sheet includes answers to the most common questions about ChatGPT and its competitors.

Jump to:

What is ChatGPT?

ChatGPT is an AI chatbot product developed by OpenAI and built on the structure of GPT-4. GPT stands for generative pre-trained transformer; this indicates it is a large language model that checks for the probability of what words might come next in sequence. A large language model is a deep learning algorithm — a type of transformer model in which a neural network learns context about any language pattern. That might be a spoken language or a computer programming language.

The model doesn’t “know” what it’s saying, but it does know what symbols (words) are likely to come after one another based on the data set it was trained on. The current generation of artificial intelligence chatbots, such as ChatGPT, its Google rival Bard and others, don’t really make intelligently informed decisions; instead, they’re the internet’s parrots, repeating words that are likely to be found next to one another in the course of natural speech. The underlying math is all about probability. The companies that make and use them pitch them as productivity genies, creating text in a matter of seconds that would take a person hours or days to produce.

In ChatGPT’s case, that data set is a large portion of the internet. From there, humans provide feedback on the AI’s output to confirm whether the words it uses sound natural.

The public version of ChatGPT can call on current events information as exact as January 2022. ChatGPT Plus can call on current events information as exact as April 2023.

In August OpenAI launched a GPTBot, a web crawler meant to expand ChatGPT’s knowledge. Technical details and ways to keep GPTBot from crawling a website you run can both be found here.

SEE: OpenAI’s probability exams were trained on Microsoft’s Azure AI supercomputer. (TechRepublic)

Several organizations have built this ability to answer questions into some of their software features too. Microsoft, which provides funding for OpenAI, rolled out ChatGPT in Bing search and in Microsoft 365. Salesforce has added ChatGPT to some of its CRM platforms in the form of the Einstein digital assistant.

Who made ChatGPT?

ChatGPT was built by OpenAI, a research laboratory with both nonprofit and for-profit branches. At the time of its founding in 2015, OpenAI received funding from Amazon Web Services, InfoSys and YC Research and investors including Elon Musk and Peter Thiel. Musk has since cut ties with the company, while Microsoft provided $10 billion in funding for OpenAI in 2023.

How much does ChatGPT cost?

The base version of ChatGPT can strike up a conversation with you for free. For $20 per month, ChatGPT Plus gives subscribers priority access in individual instances, faster response times and the chance to use new features and improvements first. For example, right now ChatGPT Plus subscribers will be running GPT-4, while anyone on the free tier will talk to GPT-3.5.

For developers and organizations who don’t already have a specific contract with OpenAI, there is a waitlist for access to the ChatGPT API.

In August, OpenAI launched ChatGPT Enterprise, a subscription plan for business with more security enhancements and admin controls compared to the basic version. Organizations interested in pricing for ChatGPT Enterprise can contact OpenAI’s sales team.

How to use ChatGPT

It’s easy to use the free version of ChatGPT. You need to sign up for an account with OpenAI, which involves fetching a confirmation code from your email; from there, click through and provide your name and phone number. OpenAI will warn you that the free version of ChatGPT is “a free research preview.” For the Plus version, you’ll see an “upgrade to Plus” button on the left side of the home page.

New signups or account upgrades for ChatGPT Plus were paused on Nov. 14, 2023 and reinstated on Dec. 13, 2023. OpenAI CEO Sam Altman wrote on X (formerly Twitter): “thanks for your patience while they found more gpus.”

For businesses, ChatGPT can write and debug code, as well as create reports, presentations, emails and websites. In general, ChatGPT can draft the kind of prose you’d likely use for work (“Write an email accepting an invitation to speak at a cybersecurity conference.”). ChatGPT can answer questions (“What are similar books to [xyz]?”) as well. Microsoft showed off these features in its announcement that OpenAI is coming to Word and some other parts of the 365 business suite.

ChatGPT has historically not ‘remembered’ information from one conversation to another. However, starting on July 20, 2023 ChatGPT Plus members can use a feature called custom instructions to make sure the AI remembers certain things about them. For example, it can remember a specific user tends to want content for a business audience, or, conversely, for third graders. It is not available in the UK and EU.

ChatGPT app for iOS

On May 18, 2023, OpenAI announced the launch of the free ChatGPT app for iOS. The company stated the app syncs your history across devices, and that it integrates with its open-source speech-recognition system Whisper. On the iOS app, OpenAI said ChatGPT Plus subscribers get exclusive access to GPT-4’s capabilities, early access to features and faster response times.

OpenAI started this rollout in the U.S. As of May 24, 2023 it expanded to 11 more countries — Albania, Croatia, France, Germany, Ireland, Jamaica, Korea, New Zealand, Nicaragua, Nigeria, and the UK, with more expected to follow.

ChatGPT app for Android

ChatGPT for Android dropped on July 25, 2023 for users in the US, India, Bangladesh, and Brazil. Android users in those countries can get the app through the Google Play Store now. Additional countries gained access over the following week, OpenAI said.

Browse with Bing

ChatGPT Plus and Enterprise subscribers can use ChatGPT to answer questions using the Bing search engine. Browsing was brought out of beta on October 17, 2023.

To access Bing in ChatGPT, subscribing customers can choose Browse with Bing in the selector under GPT-4. OpenAI expects to expand internet browsing to all users at a later date.

Browse with Bing was disabled on July 3, 2023 out of “an abundance of caution,” OpenAI wrote, and reinstated in beta on Sept. 27 of the same year. OpenAI has since added “updates include following robots.txt and identifying user agents so sites can control how ChatGPT interacts with them.”

Voice and image capabilities

On Nov. 21, 2023, ChatGPT Voice was released for all users. This feature allows users to ask questions out loud and for ChatGPT to reply in the same way.

Subscribers to ChatGPT Plus and Enterprise first reported new voice and image capabilities rolling out in late October.

ChatGPT's upcoming image interpretation capability lets the generative AI chatbot answer questions based on images from the user's phone. Image: OpenAI ChatGPT’s upcoming image interpretation capability lets the generative AI chatbot answer questions based on images from the user’s phone. Image: OpenAI

The ability to use Tools without switching is an important step toward multimodality, in which GPT-4 can automatically access DALL-E 3 to analyze or create images without a manual switch. Text-based queries will be able to result in images and vice versa. OpenAI expects to expand these capabilities to developers and other groups of users “soon after” the October release for Plus and Enterprise users.

ChatGPT updates and OpenAI API news

OpenAI continues to update ChatGPT and its other services with developer-focused changes.

OpenAI’s bug bounty program

OpenAI started a bug bounty program on April 12, 2023, offering between $200 and $20,000 to ethical hackers who find vulnerabilities in the code. More critical vulnerabilities net larger bounties.

OpenAI isn’t looking for solutions to problems with ChatGPT’s content (e.g., the known “hallucinations”); instead, the organization wants hackers to report authentication issues, data exposure, payments issues, security issues with the plugin creation system and more. Details about the bug bounty program can be found on Bugcrowd.

Web browsing and plugins

GPTPlus users gained access to a beta version of web browsing and Plugins on the week of May 12, 2023. The beta includes web browsing mode, in which ChatGPT will sometimes access the internet to pull in information about current events.

Secondly, the beta version of ChatGPT will call on third-party plugins at the appropriate times if the user enables them. Third-party plugins can be accessed in the Plugin Store under Plugins in the model switcher. This opens ChatGPT up to more than 70 third-party plugins.

June 2023 API and pricing updates

On June 13, 2023, OpenAI added function calling to the Chat Completions API; reduced the price of their embeddings model (which helps the model interpret tokens); and reduced the price of input tokens for GPT-3.5 -turbo, one of the subscription models for the GPT 3.5 model.

With function calling, developers can describe functions to GPT-4 or GPT-3.5 turbo and the AI will return a JSON object which can call those functions. This could be used to create chatbot tools that call external plugins, convert natural language into database queries or API calls, or extract structured data from text.

Other announcements from OpenAI’s June 13, 2023 blog post include:

  • updated and more steerable versions of GPT-4 and GPT-3.5-turbo
  • new 16K context version of GPT-3.5-turbo (compared to the standard 4Kversion)
  • Applications using GPT-3.5-turbo, GPT-4, and GPT-4-32K will automatically be upgraded to new models on June 27th.
  • Code interpreter

    On July 6, 2023, OpenAI made ChatGPT’s code interpreter function available to all ChatGPT Plus users. The Code interpreter is an in-house plug-in with which ChatGPT can run code to analyze data, solve math problems, create charts, edit files, and similar tasks. It functions using a Python interpreter in a sandboxed, firewalled execution environment in a persistent session the length of the chat conversation, OpenAI said in their blog post.

    Code interpreter is available in beta by taking the following steps in a ChatGPT Plus account:

    Criticisms and security issues

    With more and more organizations adopting generative AI, many questions arise. Will AI be able to fill jobs currently held by humans? What privacy and ethical concerns does it raise? These questions apply to both ChatGPT and its competitors, since any generative AI can perform similar tasks.

    Will ChatGPT result in people losing jobs?

    Whether ChatGPT will take jobs away from humans is impossible to predict. Goldman Sachs says in an April report that a quarter to a half of humans’ workloads could be automated with generative AI. The financial institution notes that doesn’t necessarily mean those jobs will disappear – instead, most will be “only partially exposed to automation” – and it may lead to up to a 7% increase in global GDP.

    More must-read AI coverage

    Roles that are repetitive or based on very specific rules are most likely to be able to be performed by AI, Steven Miller, professor emeritus of information systems at Singapore Management University, told CNBC.

    ChatGPT could lead to new job roles being created, too. At the very least, people will be needed to prompt, train and audit AI like ChatGPT. Most likely, we’ll see the kind of shuffle that comes with any major technological shift as some jobs change and others do not.

    SEE: How ChatGPT could enhance jobs instead of replacing them (TechRepublic)

    Some experts refer to the current wave of AI as similar to the early days of the internet. Technological limitations still exist, and some estimations about how many jobs would be lost through automation have proven exaggerated in the past. The IEEE points out that the AI industry will need to be aware of hardware limitations and costs. Companies may not find it practical to spend enough money on AI services in order to replace a large percentage of their workforce. Paying users of ChatGPT can make a maximum of 25 GPT-4 queries every three hours, IEEE points out.

    In some jobs, the AI may remove the need for a first draft, MIT labor economics professor David Autor said in an interview with CBS MoneyWatch. A human will need to tweak the output and provide in a unique angle or more varied wording, but ChatGPT could write the bare bones version of a speech or a blog post.

    Ethical and privacy concerns about ChatGPT

    Perhaps inspired by science fiction about AI taking over the earth, some high-profile players in tech urge caution about giving AI too much free rein. On March 22, 2023, a petition and open letter signed by Elon Musk and many others urged companies to pause large AI development until more safeguards can be built in.

    Ethics questions to ask when using generative AI

    ChatGPT opens up questions about the ethics of using written content created by the algorithm. Posts created by AI should be clearly marked as such, but what about more casual communication such as emails? Business leaders should establish guidelines for when to be transparent about the use of ChatGPT or other AI at work.

    OpenAI cautions that its products are not to be used for decisions in law enforcement or global politics. Privacy, which is perhaps a more pressing concern than global domination, led Italy to ban ChatGPT. OpenAI has since stated it wants to find a way to let ChatGPT work within the European Union’s strict privacy rules.

    OpenAI’s new privacy update allows users to exclude themselves from training data

    On April 25, 2023, OpenAI announced it has added a Chat History & Training setting that lets users turn off their ChatGPT chat history, preventing future versions of OpenAI’s large language models from training on those conversations. To find this option, click on your account name, which will display as your email address. Select Settings > Data Controls > Chat History & Training.

    OpenAI added the Chat History & Training setting to ChatGPT in April. OpenAI added the Chat History & Training setting to ChatGPT in April. Image: TechRepublic screenshot using OpenAI’s ChatGPT.

    As of now, if this setting is not selected, user data will be fed back into the AI to train it on producing more naturalistic and useful responses.

    OpenAI filters out personally identifiable information from the training data, OpenAI told Bloomberg. As of April 2023, users can get a copy of their ChatGPT chats and see what training data they have produced. In ChatGPT Enterprise, users’ data is used to train other OpenAI products.

    Copyright Shield

    On Nov. 6, 2023, OpenAI announced Copyright Shield. Copyright Shield is a guarantee that if someone files legal claims around copyright infringement against content created by users of ChatGPT Enterprise or OpenAI’s developer platform, OpenAI will costs incurred.

    Malicious uses of generative AI

    Another potential problem comes from people using generative AI like ChatGPT to draft business email compromise messages or other cyberattacks. According to BBC News, GPTs (the ChatGPT feature that helps users build AI apps) helped BBC News create a generative pre-trained transformer for writing phishing emails.

    “The public version of ChatGPT refused to create most of the [malicious] content – but Crafty Emails [the app] did nearly everything asked of it, sometimes adding disclaimers saying scam techniques were unethical,” wrote Joe Tidy at BBC News.

    IBM X-Force security researchers used ChatGPT to write phishing emails. However, the phishing emails written by humans for the same test were more successful.

    Training data extracted with ‘poem’ exploit

    On Nov. 28, 2023, security researchers from Google DeepMind found that adversarial actors could extract training data, including personal information, from ChatGPT using a flaw based on extractable memorization. The paper, published as a PDF on arXiv, shows that the researchers could trick the chatbot into revealing its raw training data. One way to do so was to ask ChatGPT to repeat the word ‘poem’ forever. This would result in the chatbot eventually diverging from the task and generating random content, or, in some cases, generating the exact data the generative AI was trained on.

    “The genuine attack is kind of silly,” the researchers wrote, referring to the endless poem prompt. However, they warn that the consequences could be quite serious, with the attack circumventing ChatGPT’s privacy safeguards.

    What are ChatGPT’s competitors?

    ChatGPT’s primary competitors are or could be Google’s Bard, Baidu’s Ernie, DeepMind’s Sparrow and Meta’s BlenderBot.

    Google’s Bard

    ChatGPT’s main competitor is Bard, Google’s AI generative AI chatbot. Google plans to add Bard into search. In comparison to ChatGPT, Bard focuses more on creating prose that sounds like a human could have spoken it naturally and less on being able to answer any question. Bard is built on Google’s Language Model for Dialogue Applications.

    While Microsoft is ahead of the pack right now (as of summer 2023) in terms of providing chat functions to productivity software, the company lags behind in terms of its search engine Bing. Google decision-makers allegedly pivoted to urgently roll out a competitor for Microsoft’s decision to add generative AI to Bing search. (Meanwhile, ChatGPT helped Bing reach 100 million daily users.)

    Baidu’s Ernie

    The Chinese search engine Baidu plans to add a chatbot called Ernie. Baidu announced the upcoming change on March 16, 2023, at which point the initial showing disappointed investors.

    DeepMind’s Sparrow

    OpenAI competes with DeepMind, an artificial intelligence research laboratory owned by Alphabet. The two organizations are significantly different in terms of their aims. DeepMind focuses more on research and has not yet come out with a public-facing chatbot. DeepMind does have Sparrow, a chatbot designed specifically to help AI communicate in a way that is “helpful, correct and harmless.” DeepMind founder Demis Hassabis told The Independent in January that DeepMind may release a private beta version of Sparrow later in 2023.

    Meta’s Llama 2 and BlenderBot

    Meta released BlenderBot in August 2022. The prototype BlenderBot from the company behind Facebook focuses on being able to chat, providing short, conversational replies rather than full paragraphs.

    Meta also has Llama 2, a foundational model competitive with the GPT-4 engine behind ChatGPT.

    Anthropic’s Claude 2

    Claude 2 is a generative AI assistant released in July. Anthropic describes it as “a friendly, enthusiastic colleague or personal assistant who can be instructed in natural language.”

    X.ai’s Grok

    Elon Musk’s AI company X.ai, which includes developers with prior experience at OpenAI and DeepMind among other AI companies, released a chatbot called Grok in November. Grok was trained on the X social media platform (formerly Twitter) and “is designed to answer questions with a bit of wit and has a rebellious streak,” X.ai wrote on Nov. 4.

    What about Apple?

    According to The New York Times, Apple is working on leveraging the tech it has, especially Siri, to create a ChatGPT rival. More information about what the final product might look like is thin on the ground for now.

    The future of AI in business

    Will ChatGPT be common in online products in the future or is it a technological innovation forever in search of a greater use case? Today its “intelligence” is clearly still in the beginning stages, with OpenAI including disclaimers about inappropriate content or incorrect “hallucinations.” ChatGPT may put the words in a coherent order, but it won’t necessarily keep the facts straight.

    GPT-3.5 and GPT-4 may also be getting worse at math. An August 2023 report from Stanford University and the University of California, Berkeley noted this “drift,” or gradual erosion of the ability to perform tasks like identifying prime numbers. Their theories as to why it’s happening include reduced ability to follow chain-of-thought (or, roughly, step-by-step) instructions.

    In July 2023, two MIT economics graduate students conducted a study of 453 professionals. They found that people who used ChatGPT for writing tasks – such as producing press releases, short reports, or analysis plans – took 40% less time to finish their tasks than a control group that was not encouraged to use the generative AI. These professionals were then scored by their peers. On average, they received grades 18% higher than those in the control group (who did not use AI). This provides some qualitative data on the effect ChatGPT could have on white-collar work.

    “Participants with weaker skills benefited the most from ChatGPT, which carries policy implications for efforts to reduce productivity inequality through AI,” wrote the authors of the study, Shakked Noy and Whitney Zhang.

    Overall, Noy and Zhang maintained that widespread use of ChatGPT for writing tasks could have both positive and negative impacts in the workplace and the labor market.

    Meanwhile, AI announcements that go viral can be good or bad news for investors. Microsoft’s stock price rose after the announcement of GPT-4, while Google’s stock dropped when Bard performed badly in a demonstration.

    OpenAI saw visitor numbers to the ChatGPT website drop in June 2023 for the first time since its release in November 2022. According to Similarweb, worldwide unique visitors dropped 5.7% from May to June. Global desktop and mobile web traffic dropped 9.7%. ChatGPT still receives more worldwide visitors than Microsoft’s in-house AI at Bing.com. The shine may have worn off chat AI, although it’s too early to tell whether the business world will also start to cool on this trendy technology.

    What’s next for OpenAI?

    For now, OpenAI says it isn’t training GPT-5, the likely successor to today’s model. In a talk at MIT reported on by The Verge, Altman pushed back against the open letter – an earlier draft of which had stated that a 5th generation was on the way; primarily, he criticized the letter’s lack of technical specificity.

    “We are doing other things on top of GPT-4 that I think have all sorts of safety issues that are important to address and were totally left out of the letter,” Altman said.

    He said no one should expect to see a GPT-5 rollout “for some time.”


    ServiceNow Strikes Deal To Buy Observability Tech Developer Lightstep

    Lightstep’s software is used by DevOps teams to analyze system-wide metrics, tracing data and logs in real time to understand the cause and effects of changes to application performance and reliability, accelerating cloud application development.

    Digital workflow software vendor ServiceNow is acquiring Lightstep, a developer of system observability technology, in what ServiceNow says is one of its biggest acquisitions.

    Monday ServiceNow announced an agreement to buy Lightstep but did not disclose the financial terms of the deal. ServiceNow expects to complete the acquisition by the end of the current quarter.

    Lightstep, based in San Francisco, develops next-generation application monitoring and observability tools used by DevOps engineers to build, deploy, run and monitor cloud-native applications. The company’s software is used by GitHub, Spotify and Twilio, according to ServiceNow

    [Related: ServiceNow ‘Quebec’ Brings Workflow Development, AI Capabilities To Wider Audience]

    Lightstep was founded in 2015 by CEO Ben Sigelman, Chief Operating Officer Ben Cronin and Chief Architect Daniel Spoonhower. Team members at the company advanced modern observability through work at Google on tracing and metrics monitoring and created both the OpenTracing and OpenTelemetry open-source projects.

    The underlying technology of the Lightspeed software analyzes system-wide metrics, tracing data and logs in real time to understand the cause and effects of changes to application performance and reliability and accelerate “development velocity” without compromising quality, according to ServiceNow.

    “Today, observability primarily benefits the DevOps teams that build and operate mission-critical apps,“ said Ben Sigelman, CEO and co-founder at Lightstep, in a statement. ”We‘ve always believed that the value of observability should extend across the entire enterprise, providing greater clarity and confidence to every team involved in these modern, digital businesses.”

    “By joining ServiceNow, together they will realize that vision for their customers and help transform the world of work in the process – and they couldn‘t be more excited about it,” Sigelman said.

    By adding Lightstep’s capabilities to its technology portfolio, ServiceNow can extend its reach beyond IT service management and IT operations management to a customer’s DevOps teams.

    ServiceNow also will apply Lightstep’s observability capabilities “across the enterprise through digital workflows that convert real-time insights into action across all the technologies, people and processes that enable digital businesses,” the company said in a statement.

    ServiceNow’s Now Platform coordinates technical and team responses and actions around workflow changes that drive digital transformation.

    “Customers will be able to more easily monitor and respond to critical signals and indicators of software health using Lightstep’s capabilities with ServiceNow’s IT workflows solutions’ ability to weave disparate elements into a seamless digital fabric,” ServiceNow said in a statement. “This gives business the confidence and clarity to drive faster innovation and better outcomes across the entire digital experience.”

    “Companies are betting on going digital in order to thrive in the 21st century, but the transition is often challenging to navigate,“ said Pablo Stern, senior vice president, IT workflow products at ServiceNow, in a statement. ”With Lightstep, ServiceNow will transform how software solutions are delivered to customers. This will ultimately make it easier for customers to innovate quickly. Now they‘ll be able to build and operate their software faster than ever before and take the new era of work head on with confidence.”

    Altogether ServiceNow has made nearly 20 acquisitions going back to 2013, including four AI technology-related acquisition is 2020. In March ServiceNow struck a deal to buy Intellibot, an India-based developer of robotic process automation technology.


     


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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

    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.

    Erpressung

    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:

    Cyber-Kosten:

    • 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

    Cyber-Eigenschäden:

    • 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