{"id":66637,"date":"2026-03-19T17:11:45","date_gmt":"2026-03-19T16:11:45","guid":{"rendered":"https:\/\/www.inovex.de\/?post_type=events&p=66637"},"modified":"2026-03-19T17:11:45","modified_gmt":"2026-03-19T16:11:45","slug":"meetup-ai-agents-evolution-security-2","status":"publish","type":"events","link":"https:\/\/www.inovex.de\/de\/news-events\/events\/meetup-ai-agents-evolution-security-2\/","title":{"rendered":"[Meetup] AI Agents: Evolution & Security"},"content":{"rendered":"
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Details<\/span><\/h2>\n
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Talk 1: Von ChatGPT zu Agentic AI: Der rote Faden der KI-Entwicklung (Ivan Herreros Alonso)<\/strong><\/h4>\n

Was wird KI 2026 tats\u00e4chlich in meinem Arbeitsalltag leisten? Um diese Frage zu beantworten, zeichnen wir die Evolution LLM-basierter Anwendungen nach: vom nat\u00fcrlichsprachlichen Dialog zur Delegation digitaler Workflows an Agenten, die \u00fcber immer gr\u00f6\u00dfere zeitliche Horizonte autonom agieren. Der rote Faden dabei: Betrachtet man die Entwicklung mit etwas Abstand, waren die meisten Schritte \u2013 von RAG \u00fcber MCP bis zu Claude-Code und Deep Agents \u2013 vorhersehbar.<\/p>\n

Aus zwei Jahren Erfahrung in der Entwicklung von Conversational- und Agentic-AI-Plattformen zeigen wir, welche Muster sich durchziehen und was hinter den Buzzwords steckt. Wer diese Logik versteht, kann technologische Entwicklungen proaktiv einordnen \u2013 statt auf jeden neuen Hype-Zyklus reagieren zu m\u00fcssen.<\/p>\n

Talk 2: Jenseits des Prompts: Vom fehleranf\u00e4lligen Modell zum verl\u00e4sslichen Agenten-System (Hans-Peter Zorn)<\/strong><\/h4>\n

Wenn KI-Agenten zunehmend komplexe, mehrstufige Workflows \u2013 wie etwa das Software Engineering oder sicherheitskritische Prozesse \u2013 \u00fcbernehmen, offenbart sich ein grundlegendes Problem: Large Language Models (LLMs) sind exzellente Orakel, aber als alleinige Systemsteuerer zeigen sie Schw\u00e4chen. Sie sind fl\u00fcchtig, verlieren \u00fcber Systemgrenzen hinweg den Kontext, ignorieren architektonische Vorgaben und sind fundamental anf\u00e4llig f\u00fcr manipulative Inputs.<\/p>\n

Wer dem reinen \u201cReasoning\u201c des Modells vertraut und Kontext nur \u00fcber unstrukturierte Markdown-Dateien weitergibt, l\u00e4uft Gefahr, fragile Systeme zu bauen.
\nDie L\u00f6sung liegt in einem architektonischen Paradigmenwechsel: Wir m\u00fcssen die Verantwortung f\u00fcr Wahrheit, Architektur und Sicherheit in eine deterministische, kontrollierbare Ausf\u00fchrungsschicht verlagern.<\/p>\n

Speaker Bio:<\/strong>
\nIvan Herreros-Alonso<\/strong>\u00a0ist Senior AI Expert bei inovex, wo er seit zwei Jahren LLM-basierte Plattformen f\u00fcr Conversational und Agentic AI entwickelt. Mit \u00fcber zehn Jahren Erfahrung in Beratungs- und Leadrollen in der Softwareentwicklung verbindet er praktische Projekterfahrung mit einem PhD in Computational Neuroscience und Forschung in Machine Learning und NLP.<\/p>\n

Hans-Peter Zorn<\/strong>\u00a0(Head of AI\/CTO, inovex GmbH) ist Experte f\u00fcr die Industrialisierung von K\u00fcnstlicher Intelligenz. Er hat seine fachlichen Wurzeln sowohl in der Informatik (Algorithmik) als auch in der Computerlinguistik (Semantik). Er hat den Wandel von Big Data zu Generative AI in der Branche aktiv mitgestaltet und k\u00fcmmert sich heute u.a. um die technologische Ausrichtung von inovex. Sein Antrieb ist das \u201eEnd-to-End Engineering\u201c: KI-L\u00f6sungen, die technisch exzellent, vertrauensw\u00fcrdig und \u00f6konomisch erfolgreich sind.<\/p>\n

Folgende ungef\u00e4hre\u00a0Agenda<\/strong>\u00a0erwartet dich:<\/h4>\n
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  • ab 18 Uhr Ankommen<\/li>\n
  • 18:30 Uhr 1. Vortrag & Fragen<\/li>\n
  • 19:15 Uhr Pause mit Essen & Gespr\u00e4chen<\/li>\n
  • 19:45 Uhr 2. Vortrag & Fragen<\/li>\n
  • 20:30 Uhr Abschluss und Zeit f\u00fcr weitere Gespr\u00e4che<\/li>\n<\/ul>\n

    Das Meetup findet in deutscher Sprache statt.<\/p>\n

    Wir freuen uns auf dich!<\/p>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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