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Trainer präsentiert vor einer Gruppe mit Laptops am Konferenztisch

Training · 11 minSecurity awareness: make informed decisionsSecurity awareness leads to secure behavior in actual work processes if requirements, exclusion criteria and decision-making scope are clarified before choosing a tool. The practical start consists of a limited scope of application, designated responsible parties, measurable baseline values and a fallback path. What is important is not the amount of technology used, but whether benefits, risks and operation can be proven together.Nico Freitag · reviewed 11/08/2026

Training · 14 minSecurity awareness: start pragmatically in medium-sized companiesSecurity awareness leads to secure behavior in actual workflows when prioritization, small teams and immediately usable results are clarified before tool selection. The practical start consists of a limited scope of application, designated responsible parties, measurable baseline values and a fallback path. What is important is not the amount of technology used, but whether benefits, risks and operation can be proven together.Kevin Kröger · reviewed 11/08/2026

Training · 14 minAI competence and AI literacy: implement safely and graduallyAI competence and AI literacy leads to responsible use of generative AI in the respective work context if pilot, releases, fallback path and phased introduction are clarified before tool selection. The practical start consists of a limited scope of application, designated responsible parties, measurable baseline values and a fallback path. What is important is not the amount of technology used, but whether benefits, risks and operation can be proven together.Kevin Kröger · reviewed 11/08/2026

Training · 12 minAI competence and AI literacy: plan costs and procurement realisticallyAI competence and AI literacy leads to responsible use of generative AI in the respective work context if total costs, personal performance, dependencies and exit are clarified before choosing the tool. The practical start consists of a limited scope of application, designated responsible parties, measurable baseline values and a fallback path. What is important is not the amount of technology used, but whether benefits, risks and operation can be proven together.Kevin Kröger · reviewed 11/08/2026

Training · 13 minTabletop exercises for security incidents: measurably decreasing qualityTabletop exercises for safety incidents lead to practiced decisions without real production damage when test cases, limits, evidence and acceptance are clarified before tool selection. The practical start consists of a limited scope of application, designated responsible parties, measurable baseline values and a fallback path. What is important is not the amount of technology used, but whether benefits, risks and operation can be proven together.Nico Freitag · reviewed 11/08/2026

Training · 13 minSecure coding training: developing a viable conceptSecure coding training leads to fewer recurring vulnerabilities directly in the development team if the target image, roles, limits and verifiable assumptions are clarified before choosing the tool. The practical start consists of a limited scope of application, designated responsible parties, measurable baseline values and a fallback path. What is important is not the amount of technology used, but whether benefits, risks and operation can be proven together.Kevin Kröger · reviewed 11/08/2026

Training · 14 minSecure coding training: start pragmatically in medium-sized companiesSecure coding training leads to fewer recurring vulnerabilities directly in the development team when prioritization, small teams and immediately usable results are clarified before tool selection. The practical start consists of a limited scope of application, designated responsible parties, measurable baseline values and a fallback path. What is important is not the amount of technology used, but whether benefits, risks and operation can be proven together.Kevin Kröger · reviewed 11/08/2026

Training · 8 minPlan training effectively: From the mandatory slide to safe behaviorEffective training is based on role, work context and specific decision-making situations. Participants not only need knowledge, but also an applicable reporting or action path, practical exercises and a later effectiveness test. Content and repetition are based on risk, change and observed uncertainties.Nico Freitag · reviewed 11/08/2026

Training · 13 minAI competence according to Article 4 AI Act: Training as an operational processArticle 4 of the AI Act requires providers and operators to take measures to ensure a sufficient level of AI competence among people working with AI systems. A general one-off training course is not automatically sufficient. Content and evidence must take into account the role, prior knowledge, operational context, affected people and specific risks and be updated when changes occur.Nico Freitag · reviewed 11/08/2026

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