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Are you a cybersecurity professional looking to connect with like-minded professionals, share experiences, and make friends? Look no further! Join us for a special edition of the Berlin Cybersecurity Social hosted in collaboration with the Venture Café Berlin and the AI Ethics Action Hub for a fantastic evening of networking.

Agenda:

  • 5:00 PM - 5:15 PM: Welcome
  • 5:15 PM – 5:50 PM: Lightning Talk: AI Threat Modeling: how to bring the right mindset to detect and prevent AI risk - Iryna Schwindt In this talk, we'll explore the full spectrum of AI risks—not just security-related ones—and why understanding the application context is critical. You'll learn: - What are the types of AI risks (not only security risks) - Why AI application context matters - How to identify potential threats\, apply effective controls and guardrails - Cultivating the right mindset to detect and prevent AI risks *
  • 5:50 PM - 6:30 PM: Panel: AI Meets Cybersecurity: Building Smarter, Safer Systems at Scale - Jose Quesada, Diana Waithanji, Ali Yazdani, Pranav Vattaparambil As AI rapidly integrates into every layer of digital infrastructure, the stakes for cybersecurity have never been higher. This panel brings together experts from across the security spectrum—ranging from DevSecOps and enterprise risk to cybersecurity strategy—to explore how AI is transforming threat detection, governance, and secure system design. We’ll dive into real-world use cases, emerging risks, and what it takes to build scalable, intelligent, and secure systems in an increasingly AI-driven world.
  • 6:30 PM - 8:00 PM: Breakout Session: Cybersecurity in the Age of AI: Ethics & Human-Centered Future *Featuring Azer Aliyev (speakinprivate.com), Gunay Kazimzade (Mercedes-Benz Consulting), and Justin Shenk (AI Salon Berlin), this fast-paced session brings together innovators, researchers, and tech leaders to explore how to build AI systems that protect privacy, bolster trust, and keep humans at the heart of digital transformation.

*This session is organised by the AI Ethics Action Hub

About the Speakers:

Iryna Schwindt is a Cybersecurity engineer currently at Vodafone and a co-author at the OWASP AI Exchange (https://owaspai.org/) project, contributing to the EU AI Act security standard and AI Red Teaming.

Jose Quesada is the founder and director of Data Science Retreat (DSR), an advanced ML bootcamp that has helped over 300 professionals land data science roles. With a PhD and 20+ years in machine learning, Jose brings a unique blend of technical depth and creative flair—he’s also a former photorealism artist. He has advised on impactful projects ranging from malaria diagnostics to sustainability-focused robotics.

Diana Waithanji is a Cybersecurity Engineer at SAP SE, with experience working across Europe and Africa. She is an advocate for data privacy as a fundamental human right and serves on two technical committees at the Kenya Bureau of Standards. Diana is also a board member at Nivishe Foundation, where she supports youth mental health through safe spaces. Her work bridges global standards, social impact, and cutting-edge security practices.

Ali Yazdani is a seasoned security professional with over a decade of experience spanning offensive security and secure development practices. Starting his career as a penetration tester, he now specializes in building scalable DevSecOps programs and embedding security into engineering workflows. Ali brings deep technical knowledge and a pragmatic approach to security culture. His mission is to empower teams to build safer software at scale and is currently a founder at Scandog.io

Pranav Vattaparambil is Chief Security Officer at Unosecur (https://www.unosecur.com/) as well as a security and product strategist with deep expertise in fintech. Formerly VP of Cybersecurity at the EU’s largest Banking-as-a-Service company, he also advises multiple startups on navigating security, risk, and go-to-market strategy. Pranav bridges the gap between technical execution and business impact, especially in regulated industries like banking and crypto. His focus is on helping companies build secure, scalable products from day one.

About Venture Café Berlin: Venture Café Berlin connects a community of innovators and entrepreneurs with free high-impact programming and events. Venture Café is a part of the CIC network, whose mission is to fix the world through innovation.

About Berlin Cybersecurity Social: This meetup is open to cybersecurity professionals of all levels, from beginners to experts. Whether you're a seasoned pro or just starting your journey in the field, this event is the perfect opportunity to connect with others who share your passion for cybersecurity.

About the AI Ethics Action Hub: A global, interdisciplinary collective dedicated to advancing ethical, inclusive, and accountable AI. We believe technology should be designed to respecting human dignity, planetary well-being, and intergenerational justice.

Berlin Cybersecurity Social #18: AI & Cybersecurity Sessions

2 Days Hands-On Online Workshop: Azure AI Foundry and Copilot Studio Bootcamp Date: 29-30 May 2025, 9 AM to 5 PM Central Time Level: Beginners/Intermediate Registration Link: https://www.eventbrite.com/e/hands-on-azure-ai-foundry-and-copilot-studio-bootcamp-tickets-1267311596099?aff=oddtdtcreator Who Should Attend? This hands-on workshop is open to developers, senior software engineers, IT pros, architects, IT managers, citizen developers, technology product managers, IT leaders, enterprise architects, chief analytics officers, chief information officers, chief technology officers, and decision-makers interested in learning how AI Agents and Generative AI can help infuse artificial intelligence into next-generation apps and agents. Experience with C#, Python, or JavaScript is helpful but not required. You don't need prior knowledge of AI either. Although this isn't a data & analytics-focused workshop, data scientists, data stewards, and technically-minded data protection officers will also find it very valuable Description: With ChatGPT and other large language models, generative AI has captured the attention of global consumers, enterprises, and C-suite executives. AI has a significant role in the enterprise space and is evolving rapidly. Without understanding the concepts behind these advanced technologies, developers and administrators might find it challenging to assess the true impact of emerging tools and solutions. An AI agent is a powerful companion capable of managing a variety of interactions and tasks—from handling complex conversations to autonomously deciding the best actions based on instructions and context. Agents coordinate language models along with instructions, context, knowledge sources, topics, actions, inputs, and triggers to achieve your desired outcomes. Copilot Studio is a graphical, low-code tool designed for creating agents, including building automations with Power Automate and extending Microsoft 365 Copilot with your own enterprise data and scenarios. One standout feature of Copilot Studio is its ability to connect to other data sources through either prebuilt or custom plugins, as well as integration with Azure AI Foundry. This flexibility allows users to easily build sophisticated logic, ensuring that agent experiences are both powerful and intuitive. Azure AI Foundry is a unified AI platform that includes the Azure AI Foundry portal (formerly Azure AI Studio) and the Azure AI Foundry SDK—a unified SDK featuring pre-built app templates. This SDK gives developers easy access to popular models through a single interface, simplifies the integration of Azure AI into applications, and helps evaluate, debug, and improve application quality and safety throughout development, testing, and production. In this two-day virtual hands-on workshop, Microsoft AI and Business Applications MVP and Microsoft Certified Trainer, Prashant G Bhoyar, will cover these topics in detail:

  1. What are multimodal GenAI applications?
  2. What are AI agents?
  3. What are autonomous agents?
  4. What are custom Copilots?
  5. Introduction to Copilot Studio: Learn to create agents, build automations with Power Automate, and extend Microsoft 365 Copilot using enterprise data. Discover how to use prebuilt and custom plugins alongside Azure AI Foundry for powerful, intuitive agent experiences.
  6. Azure AI Foundry: An in-depth overview of Azure AI Foundry.
  7. Azure OpenAI Services: Explore these services, their architecture, and their role in the broader AI ecosystem.
  8. Using models from DeepSeek, Llama, Hugging Face, and other open-source models via Azure AI Foundry.
  9. Prompt engineering: An in-depth look at creating effective prompts, understanding their importance, and the factors influencing their performance.
  10. Use cases and common architectures: Hands-on labs demonstrating real-world implementations.
  11. How to evaluate use cases and determine ROI.
  12. Azure OpenAI Service embedding models.
  13. Customizing Azure OpenAI Services: Configuration to deployment tailored to specific business needs.
  14. Deep dive into Azure OpenAI Services: A detailed look at popular models like o1, GPT, Ada, and DALL-E, discussing their unique features and ideal use cases.
  15. Using Azure OpenAI Service to access company data.
  16. Azure AI Services overview: Language, Speech, and Vision services and their real-world applications.
  17. Conversational AI: Design, train, and refine AI capable of human-like interactions.
  18. Azure AI Search: Creating advanced search experiences.
  19. Document Intelligence Service: Extracting key-value pairs and table data from documents using machine learning.
  20. Azure AI Agent Service: Feature-rich managed capabilities combining models, data, tools, and services for automating complex business processes.
  21. Semantic Kernel: An open-source SDK for combining AI services (OpenAI, Azure OpenAI, Hugging Face) with programming languages like C# and Python to create advanced AI applications.
  22. Model Context Protocol ( MCP )
  23. Responsible AI: Ethics and responsible practices in AI use.
  24. Enterprise-level applications, Custom Copilots, and AI agents: Learn to develop scalable, multimodal applications using Copilot Studio and Azure AI Foundry, emphasizing industry requirements and best practices.

By the end of the workshop, you'll have practical experience building next-generation multimodal applications, Custom Copilots, and AI Agents using Copilot Studio and Azure AI Foundry. Workshop Resources: Access to Copilot Studio, Azure, and Azure OpenAI services (valued at USD 500) will be provided for hands-on labs, allowing you to build enterprise-grade multimodal applications and agents. However, you're encouraged to use your own Copilot Studio and Azure subscriptions if available. Attendee Workstation Requirements: You must bring your own computer (Windows or Mac) with:

  • Camera, speakers, microphone, and a reliable internet connection. Tablets will not work for this workshop.
  • A modern browser (Microsoft Edge, Google Chrome, Firefox, or Safari).
  • Access to www.azure.com and https://copilotstudio.microsoft.com.
  • Nice to have is the ability to run C# 10 or Python code, using Visual Studio 2022, VSCode 1.66+, Visual Studio for Mac, Rider, or similar IDE.
2-Day Hands-on Online Workshop: Azure AI Foundry and Copilot Studio Bootcamp
ingrid kolderup – Software Engineer @ Cisco , kari mo – Software Engineer @ Cisco

In this talk, we will share insights into the use of ML techniques, such as object detection and classification, to improve video meetings on our Cisco devices. We'll discuss our wide range of ML models and their respective use cases. The session will include a focused examination of our head detection model, detailing the fundamental principles and demonstrating the specific functionalities it facilitates to refine the video meeting experience.

machine learning deep learning object detection classification computer vision
peter kemp – Principal Consultant & Digital Transformation @ FSP

Copilot for Microsoft 365 has the power to positively transform the modern workplace. Using LLMs and integrating your data and Microsoft 365 Apps, Copilot for M365 supports employees to be more productive, creative and collaborative. Pete will shared some of our experiences working with a number of organisations on launching Copilot for M365, including some of benefits and challenges it presents.

llms microsoft 365 copilot
ian osvald – Principal Data Scientist @ Mor Consulting

Running models locally on the CPU and possibly a GPU means we can experiment with the latest quantised models on real client data without anything leaving the machine. We can explore text question answering, image analysis and calling these tools via a Python API for rapid PoC experimentation. This quickly exposes the ways that LLMs go weird and maybe that helps us avoid some of the examples of early LLM deployments making embarrassing mistakes!

llama.cpp llms Python cpu gpu quantised models

We are excited for the third session of virtual solution drives for New to AWS customers at the AWS NYC meet-up channel. The virtual event will take place on Thursday, Sept 7th, between 4:00 and 5:00 PM EST. Generative AI is creating entirely new customer experiences, driving unprecedented levels of productivity, and transforming your business. Amazon CodeWhisperer is an AI coding companion that generates fully functional code suggestions in your IDE to help you get more done faster. CodeWhisperer is trained on billions of lines of code and can generate code suggestions ranging from snippets to full functions in real time based on your comments and existing code. Bypass time-consuming coding tasks and accelerate building with unfamiliar APIs. Join and experience a fun way of learning Amazon CodeWhisperer with a live demo, and participate in the trivia to receive Uber Eats gift cards.

Agenda

  • 04:00 – 4:20 PM: Generative AI Introduction
  • 04:20 – 4:35 PM: Amazon CodeWhisperer Overview and Demo
  • 04:35 – 4:45 PM: Demo
  • 04:45 – 4:50 PM: Next Steps
  • 04:50 – 5:00 PM: Game! Closing Remarks

Speakers

Abhishek Srivastav is a Sr. Solutions Architect and NoSQL evangelist with 15+ years in designing core analytical systems for enterprises. He is holding all 12 AWS certifications. Kandarp Thakar is a Sr Business Development lead for Builder Experience services. Kandarp has 10+ years of industry experience in various role as SDE, Product Management and currently working as a specialist to build and lead various go-to-market activities and strategies. Qualen 'Q' Bradley is an Enterprise Account Executive at AWS. He has a deep well of experience with helping Enterprise customers across various verticals accelerate business growth and innovation by leveraging AWS services and architectural best practices.

Amazon CodeWhisperer: Build apps faster and secure with your AI coding companion
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