> Markdown version of [/videos/100407-red-teaming-your-llm-app-a-hands-on-threat-model-you-can-reuse?t=158](https://www.wearedevelopers.com/videos/100407-red-teaming-your-llm-app-a-hands-on-threat-model-you-can-reuse?t=158). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Red Teaming Your LLM App -- A Hands-On Threat Model You Can Reuse Traditional security cannot protect your AI from prompt injections or poisoned data. Implement a reusable, five-stage threat model to secure your LLM apps without slowing down development. - **Speakers:** [Saloni Garg](https://www.wearedevelopers.com/@saloni-garg) - **Event:** World Congress 2026 North America - **Published:** September 25, 2026 - **Duration:** 19:47 - **URL:** https://www.wearedevelopers.com/videos/100407-red-teaming-your-llm-app-a-hands-on-threat-model-you-can-reuse ## Access Playback and chapters for this video are available with a Free account. ## Related Moments - [Leveraging older LLMs defensively for vulnerability hunting](https://www.wearedevelopers.com/videos/100279-surviving-the-vulnpocalypse-open-source-and-supply-chain-security-in-a-post-mythos-world) (from "Surviving the Vulnpocalypse: Open Source and Supply Chain Security in a Post Mythos World") - [Understanding LLMs as vulnerable software services](https://www.wearedevelopers.com/videos/1594-beyond-the-hype-building-trustworthy-and-reliable-llm-applications-with-guardrails) (from "Beyond the Hype: Building Trustworthy and Reliable LLM Applications with Guardrails") - [Utilizing industry threat models for AI security](https://www.wearedevelopers.com/videos/715-a-hundred-ways-to-wreck-your-ai-the-in-security-of-machine-learning-systems) (from "A hundred ways to wreck your AI - the (in)security of machine learning systems") - [Mitigating indirect prompt injection in language models](https://www.wearedevelopers.com/videos/1957-security-in-model-context-protocol-an-analysis-of-the-owasp-mcp-top-10) (from "Security in Model Context Protocol: An Analysis of the OWASP MCP Top 10") - [Addressing core challenges in large language model deployments](https://www.wearedevelopers.com/videos/899-creating-industry-ready-solutions-with-llm-models) (from "Creating Industry ready solutions with LLM Models") - [Introducing LLMs as judges for automated testing](https://www.wearedevelopers.com/videos/100300-testing-ai-agents-automated-evaluation-for-chatbots-rag-systems) (from "Testing AI Agents: Automated Evaluation for Chatbots & RAG Systems") ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Dev Digest 138 - Are you secure about this?](https://www.wearedevelopers.com/magazine/486-dev-digest-138-are-you-secure-about-this) - [Dev Digest 196: AI Killed DevOps, LLM Political Bias & AI Security](https://www.wearedevelopers.com/magazine/659-dev-digest-196-ai-killed-devops-llm-political-bias-ai-security) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) ## Related Jobs - [LLM Training Engineer](https://www.wearedevelopers.com/jobs/48420-llm-training-engineer) at **Sciforium** - [Partner Sales Director - AI Alliances - Model Providers](https://www.wearedevelopers.com/jobs/48429-partner-sales-director-ai-alliances-model-providers) at **Dynatrace** - [LLM Dataset Engineer](https://www.wearedevelopers.com/jobs/48419-llm-dataset-engineer) at **Sciforium** - [ML Engineer](https://www.wearedevelopers.com/jobs/48448-ml-engineer) at **Docker, Inc.** - [Staff ML Engineer](https://www.wearedevelopers.com/jobs/48463-staff-ml-engineer) at **Docker, Inc.** - [MLOps AI Engineer](https://www.wearedevelopers.com/jobs/ext/2565312-mlops-ai-engineer) at **TeamViewer Germany GmbH,**