# Why Your AI Application Is Exposed

DevFeed: [Why Your AI Application Is Exposed](<https://devfeed.tech/articles/why-your-ai-application-is-exposed-8254.md>)

Original publisher: [Read original article](<https://snyk.io/blog/why-your-ai-application-is-exposed/>)

Author: Damian Tommasino

Published: 2026-08-26T04:00:00Z

Content type: article

Language: en

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

Topics: [Application Security](<https://devfeed.tech/topics/application-security.md>), [AI Development](<https://devfeed.tech/topics/ai-development.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [vulnerability](<https://devfeed.tech/topics/vulnerability.md>), [Model Context Protocol](<https://devfeed.tech/topics/model-context-protocol.md>), [Retrieval Augmented Generation (RAG)](<https://devfeed.tech/topics/retrieval-augmented-generation-rag.md>), [Machine Learning, Security Attacks](<https://devfeed.tech/topics/machine-learning-security-attacks.md>), [data](<https://devfeed.tech/topics/data.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-red-team](<https://devfeed.tech/tags/ai-red-team.md>), [application-security](<https://devfeed.tech/tags/application-security.md>), [awareness](<https://devfeed.tech/tags/awareness.md>), [blog](<https://devfeed.tech/tags/blog.md>), [devops](<https://devfeed.tech/tags/devops.md>), [executive](<https://devfeed.tech/tags/executive.md>), [interest](<https://devfeed.tech/tags/interest.md>), [llm](<https://devfeed.tech/tags/llm.md>), [mcp](<https://devfeed.tech/tags/mcp.md>), [rag](<https://devfeed.tech/tags/rag.md>), [security](<https://devfeed.tech/tags/security.md>), [testing](<https://devfeed.tech/tags/testing.md>), [vulnerability](<https://devfeed.tech/tags/vulnerability.md>)

## AI overview

The article explains why AI applications can pass conventional security scans and model evaluations while remaining exploitable through chained interactions among prompts, language models, retrieval, tools, and backend workflows. It presents DAST, AI penetration testing, and AI red teaming as complementary lenses for identifying exposed surfaces, exploitable paths, and real-world adversary outcomes.

## Source excerpt

AI applications can pass security scans yet remain exploitable through chained attacks across models, tools, data, and business workflows. Learn how DAST, AI pentesting, and red teaming work together to expose end-to-end risk.