I Caused an Outage on an Agentic App

2026-02-19 · Source: LLM on Medium · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cybersecurity & Data Privacy · Depth: Intermediate, quick

Summary

An agentic AI security assessment revealed critical vulnerabilities in a new product designed for user-driven body feature modification, similar to Grok's image editing capabilities. The assessment, conducted on a web portal for authenticated users, uncovered bugs that ultimately led to a service outage. The author details the technical architecture, including a data flow diagram, and the specific vulnerabilities exploited. This write-up is part of a series on agentic AI security, building on previous discussions about prompt injection and AI pentesting methodologies, aiming to provide practical insights into real-world security challenges in AI-driven applications.

Key takeaway

For AI Security Engineers evaluating new agentic AI applications, you should prioritize comprehensive security assessments early in the development lifecycle. Focus on identifying potential vulnerabilities in data flow and user interaction points, as even seemingly minor bugs can escalate to critical service outages. Your assessment should include testing for prompt injection and other agentic-specific attack vectors to ensure system resilience.

Key insights

Agentic AI applications are susceptible to critical vulnerabilities that can lead to service outages.

Principles

• Thorough security assessments are crucial for new AI products.
• Agentic AI introduces unique attack surfaces.

Method

The assessment involved interacting with an authenticated web portal, analyzing the data flow, and identifying bugs in an agentic AI service for body feature modification.

In practice

• Conduct security assessments on new AI products.
• Analyze data flow in agentic AI services.

Topics

• Agentic AI
• AI Security
• Penetration Testing
• System Outage
• Image Modification

Best for: AI Security Engineer, Security Engineer, AI Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by LLM on Medium.