# Secure by Design: The Future of Threat Modeling for AI-Native Applications

DevFeed: [Secure by Design: The Future of Threat Modeling for AI-Native Applications](<https://devfeed.tech/articles/secure-by-design-the-future-of-threat-modeling-for-ai-native-applications-7936.md>)

Original publisher: [Read original article](<https://snyk.io/blog/future-threat-modeling-ai-native-apps/>)

Author: John Carione

Published: 2025-11-11T05:00:00Z

Content type: opinion

Language: en

Sources: [Blog RSS Feed | Snyk](<https://devfeed.tech/sources/blog-rss-feed-snyk.md>)

Topics: [Security](<https://devfeed.tech/topics/security.md>), [Security for AI](<https://devfeed.tech/topics/security-for-ai.md>), [Architecture & Design](<https://devfeed.tech/topics/architecture-design.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [snyk](<https://devfeed.tech/topics/snyk.md>), [Vulnerabilities](<https://devfeed.tech/topics/vulnerabilities.md>), [prompt injection](<https://devfeed.tech/topics/prompt-injection.md>)

Tags: [agentic](<https://devfeed.tech/tags/agentic.md>), [ai](<https://devfeed.tech/tags/ai.md>), [prompt-injection](<https://devfeed.tech/tags/prompt-injection.md>), [secure-by-design](<https://devfeed.tech/tags/secure-by-design.md>), [security](<https://devfeed.tech/tags/security.md>), [security-for-ai](<https://devfeed.tech/tags/security-for-ai.md>), [snyk](<https://devfeed.tech/tags/snyk.md>)

## AI overview

This Snyk article argues that traditional, manual threat modeling cannot keep pace with AI-native applications built from large language models, autonomous agents, APIs, and changing data flows. It presents continuous, automated, AI-assisted threat modeling as a way to maintain secure-by-design systems and address risks such as prompt injection, data exfiltration, data poisoning, and agentic vulnerabilities.

## Source excerpt

Explore how Snyk's Evo Threat Modeling Agent automates and contextualizes security for AI-native applications, addressing prompt injection, data exfiltration, data poisoning, and agentic vulnerabilities.