Name: NDC AI 2025
Start: 2025-11-11
End: 2025-11-13
Location: NDC AI

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Attend the full event. 11-13 November. Food and drinks are included.

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Attend the conference day, 13 November. Food and drinks are included.

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Attend the 2 workshop days, 11-12 November. Food and drinks are included.

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NDC AI 2025

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Need an invoice? Choose "Pay by invoice" under the Payment Method option. An administration fee of 200 NOK will be added to the invoice. The invoice is processed manually and will be sent electronically within 5-10 business days.

NDC Conferences reserves the right to make changes to the agenda at any time due to unforeseen circumstances. Any changes to the program will be noted on our website and delegates should check regularly for updates.

You have the right to cancel your purchase of tickets within 14 days of placing your order. After 14 days the following terms apply:

Cancellations a minimum of 60 days prior to the event: 50% of the ticket price is refundable.

Cancellations a minimum of 30 days prior to the event: 25% of the ticket price is refundable.

Cancellations within 30 days prior to the event are non-refundable.

If the conference is cancelled or postponed, tickets will remain valid, and can be used at the next in-person event. Alternatively, attendees can opt for a full refund, or, a partial refund with access to the online version of the conference.

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Inspiring  Software Developers since 2008

Kasimir Schulz, Principal Security Researcher at HiddenLayer, is a leading expert in uncovering zero-day exploits and supply chain vulnerabilities in AI. His work has been featured in BleepingComputer and Dark Reading, and he has spoken at conferences such as FS-ISAC and Black Hat. Kasimir leads the development of advanced tools for automating vulnerability detection and implementing large-scale patches, fortifying systems against supply chain attacks. His dedication to proactive defense measures sets a new standard in cybersecurity resilience.

Gary Lopez is a Senior Red Teamer on Microsoft's AI Red Team. In his current role, he collaborates with a diverse group of interdisciplinary experts, all dedicated to adopting an attacker's mindset to critically probe and test AI systems. Gary Lopez is the creator of Microsoft’s PyRIT (Python Risk Identification Toolkit), the team’s main red teaming automation tool. Prior to his tenure at Microsoft, Gary worked at Booz Allen Hamilton focusing on cybersecurity, developing tools for reverse engineering and malware analysis, specially targeting, and mitigating vulnerabilities within critical infrastructure including SCADA, ICS and DCS systems. He is also a graduate student at Georgetown University in the Applied Intelligence program focusing on Cyber Intelligence. 

Kenneth Yeung is a Senior Security Researcher at HiddenLayer, specializing in adversarial machine learning and AI security. He is known for identifying LLM vulnerabilities in AI systems like Google Gemini, has been featured in publications like Forbes and DarkReading, and has spoken at conferences such as OWASP Global AppSec. Kenneth is a top finisher in global AI security competitions such as HackAPrompt 2023 and Dreadnode's Man vs Machine CTF, and is actively researching the defense of generative AI models.

Jim Manico is the founder of Manicode Security where he trains software developers on secure coding and security engineering. He is also an investor/advisor for KSOC, Nucleus Security, Signal Sciences, and BitDiscovery. Jim is a frequent speaker on secure software practices, is a Java Champion, and is the author of 'Iron-Clad Java - Building Secure Web Applications' from Oracle Press. Jim also volunteers for OWASP as the project co-lead for the OWASP ASVS and the OWASP Proactive Controls.

Michelle Frost is an AI Advocate at JetBrains. With over a decade of engineering experience, Michelle holds a Bachelor of Science in Computer Science from the University of Missouri at Kansas City, a Master of Science in Artificial Intelligence from Johns Hopkins University, and is a Microsoft AI MVP. As an established AI and Machine Learning specialist, Michelle focuses on Responsible AI development. Her approach is grounded in creating AI that is fair, accountable, and transparent.

Michelle is also an active member and Tech Advisor to The Center for Practical Bioethics' Ethical AI Initiative. When not behind the screen, she can be found tending to her garden with her 100 lb pup Wilbur by her side.

Dr. Jodie Burchell is the Developer Advocate in Data Science at JetBrains, and was previously the Lead Data Scientist in audiences generation at Verve Group Europe. She completed a PhD in clinical psychology and a postdoc in biostatistics, before leaving academia for a data science career. She has worked for 7 years as a data scientist in both Australia and Germany, developing a range of products including recommendation systems, analysis platforms, search engine improvements and audience profiling. She has held a broad range of responsibilities in her career, doing everything from data analytics to maintaining machine learning solutions in production. She is a long time content creator in data science, across conference and user group presentations, books, webinars, and posts on both her own and JetBrain's blogs.

Alan Smith is an AI and ML developer, trainer, mentor and evangelist at Active Solution in Stockholm. He has a strong hands-on philosophy and focusses on embracing the power and flexibility of cloud computing to deliver engaging and exciting demos and training courses.

Alan has held the MVP title since 2005, and is currently an AI MVP. He is in the organization team for the CloudBurst and AI Burst Conferences.

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