Protect your on-device AI from the next wave of attacks

What you’ll learn:

• Why on-device AI introduces new risks: Understand how embedded AI expands the attack surface beyond the cloud, from runtime tampering to query-level prompt injection and model theft. 
• Where conventional app security falls short: See why static hardening isn’t enough to protect AI logic, input/output flows, or local inference models, and what runtime protection looks like in practice. 
• How to protect your AI and your business: Discover how Promon’s layered defense secures your mobile AI apps against manipulation and IP theft, ensuring resilience, compliance, and continued revenue from your AI-driven features. 

Why attend:

✔️ Protect your AI IP and innovation: Safeguard the value built into your proprietary models. 
✔️ Reduce compliance and reputational risk: Align with EU AI Act and NIST AI RMF standards. 
✔️ Defend revenue and user trust: Stop tampering that can lead to fraud, model misuse, or degraded user experiences. 
✔️ Build team competency: Learn practical steps AppSec, DevOps, and compliance teams can take today. 

Who is it for?

• CISOs & compliance leaders who need to understand regulatory implications and ROI from stronger AI resilience. 
• AppSec teams who are interested in exploring post-compile protections against runtime threats. 
• Developers & AI/ML Ops who want to learn how to secure models without touching source code or impacting performance.