This website provides important definitions and explains the categories of threats to better understand risks and dangers in the digital world.

Anyone who handles personal data as a business owner – whether it is their own, that of employees, or that of customers – bears a great responsibility. Sensitive business data must also be protected. It is not enough to merely comply with legal requirements; proactive measures must also be taken. Therefore, it is crucial to develop a comprehensive security concept that includes both organizational measures and cost considerations. It is not just about complying with legal requirements but also about protecting the business from potential damages in advance. Awareness of data protection issues (i.e., engaging with data protection questions) should therefore be a top priority.

Secure Handling of Client Data

Human Carelessness

Sarah Verifiziert
(18. February 2023)

Kategorie: Menschlich

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Luca Verifiziert
(18. February 2023)

Kategorie: Technisch

Artificial Intelligence

Definition:
Use of language models or agents.
a.) AI as a research database:
Human-like random responses.
b.) AI that becomes autonomous:
Assignment of specific tasks to be "completed".
Risks:

a.) AI as a research database, language model

Incorrect or misleading information: The AI may provide inaccurate data that leads to wrong decisions.
Biased responses: Due to biased training data, the AI`s answers can be distorted or one-sided.
Misinterpretation of user queries: The AI may misunderstand queries and therefore provide irrelevant or incorrect information.

b.) AI that becomes autonomous, agent

Unpredictable decisions: The AI can make decisions that are not aligned with the original goals and may be harmful.
Loss of control: Humans may lose control over the AI, leading to unintended actions.
Unethical actions: The AI could act in situations that are morally or ethically questionable without human intervention.