AI security threat model:
A comprehensive approach

From threat model to mitigation plan: How to secure AI inside mobile apps

AI is now inside the app—not just behind it. As organizations embed AI directly into mobile experiences, the number and complexity of threats have exploded.

This new paper by Dr. Anton Tkachenko introduces a complete AI security framework for identifying, categorizing, and prioritizing risks across device, model, application, and agent levels. It also shows how Promon’s protection layers map to these threats to defend against real-world AI attacks.

Read the paper

What you'll learn

The 49 key AI threats targeting on-device and embedded models
How to classify and prioritize AI risks across your app ecosystem
Practical defense strategies based on OWASP, MITRE, and NIST frameworks
How Promon’s Shield, Data Protect, and Code Protect mitigate the most critical AI threats

Access the paper

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