Private by Design and Secure by Default AI Products
GOTO Copenhagen 2025In charge of deploying AI but not sure how to protect and secure these systems? Want to learn how to architect around potential security vulnerabilities? Or to design AI systems that meet privacy and security guidelines?
This intensive, one-day masterclass goes beyond theoretical concepts, empowering experienced engineers and architects to proactively build privacy and security into AI products by design.
Move beyond reactive measures by learning:
Real-World Threat Modeling:
Identify vulnerabilities in your AI systems.
Hands-On Red Teaming:
Execute and evaluate attacks on models.
Meta Prompt Engineering & Guardrails:
Learn how to identify and intervene in insecure prompts or questionable AI output.
Data Flow Analysis & Risk Assessment:
Map and mitigate privacy and confidentiality risks in your data workflows.
Practical Model Evaluation Strategies:
Build evaluation datasets and integrate security & privacy testing into your deployment workflow.
Designed for those just starting out or already familiar with AI concepts, this masterclass provides actionable insights, practical tools, and a clear framework for building more trustworthy AI solutions. Leave equipped to deploy better privacy and security within your organization. No deep math or stats background required (although it’s great if you have one!).
