This one-hour online session opens with a concise introduction from Piotr, whose work sits at the intersection of AI, cybersecurity, secure software development lifecycle, and data protection compliance. After a quick live pulse to see what attendees are currently working on in AI, the session moves into a focused practical talk.
What will you learn?
The core talk — "5 Things Every AI Project Needs Before Production" — walks through the security and compliance foundations that AI teams routinely overlook. Topics include establishing security baselines for AI and ML systems, applying data protection by design within AI pipelines so GDPR obligations are met from the start, and understanding how the EU AI Act risk classification applies to real projects. The session also covers integrating security into the software development lifecycle for AI-powered applications without slowing delivery, and highlights the NIS 2 and AI Act compliance checkpoints that teams most frequently miss. Each point is grounded in practical, real-world examples rather than abstract theory.
Who should attend?
The second half of the session is dedicated entirely to the community. Attendees will vote on what topics matter most, discuss preferred formats for future events — deep dives, hands-on workshops, panel discussions, or live demos — and have the opportunity to volunteer as speakers, co-organizers, or sponsors. This webinar is designed for anyone working with AI who cares about building responsibly: engineers, CTOs, product managers, compliance officers, data protection officers, security professionals, and anyone curious about where AI regulation is headed. No prior expertise in security or compliance is required — just a genuine interest in doing AI right.
