This workshop takes participants deep into the threat landscape of adversarial attacks against AI models & provides hands-on exercises to develop defensive strategies. Using case studies & guided labs, we’ll explore how poisoning, evasion & prompt injection attacks manifest in enterprise contexts & how defensive methods like secure MLOps, red-teaming, & MITRE ATLAS can be applied.

Attendees will be engaged with frameworks, architectures & response patterns that protect AI pipelines, models & outputs across Azure deployments. By the end, participants will have a partner-ready methodology to bring back to their clients, turning AI security into a differentiator for trust, credibility & competitive advantage.