Guidance for Microsoft Defender for Cloud — AI workload protection (AI-SPM and runtime threat detection for generative AI). Covers AI Security Posture Management (discovery of Azure OpenAI / Azure AI Foundry / Amazon Bedrock / Google Vertex AI resources, identification of grounding data exposure, model deployment posture), runtime threat detection on Azure OpenAI (prompt injection / jailbreak attempts, sensitive data leakage in prompts/responses, wallet abuse, credential leakage), integration with Azure AI Content Safety Prompt Shields, attack path analysis for AI workloads, alert investigation in Defender XDR, and pairing with Purview DSPM for AI (user side) and Azure AI Content Safety (model side). WHEN: Defender for Cloud AI, AI-SPM, AI workload protection, Azure OpenAI threat detection, prompt injection alert, jailbreak alert Azure OpenAI, AI wallet abuse, AI workload posture, Amazon Bedrock posture, Vertex AI posture, generative AI security Azure. DO NOT USE for end-user AI usage governance (use purview-ai-hub), content moderation API (use azure-ai-content-safety), or M365 Copilot rollout (use copilot-for-m365-readiness).
How to install defender-for-cloud-ai?
vinayaklatthe/microsoft-security-skills/defender-for-cloud-ai
$npx -y skills add vinayaklatthe/microsoft-security-skills --skill defender-for-cloud-aiInstalls into the current project.
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Run `npx skills use "https://github.com/vinayaklatthe/microsoft-security-skills" --skill "vinayaklatthe/microsoft-security-skills/defender-for-cloud-ai"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/vinayaklatthe/microsoft-security-skills" that are relevant to the current task. Run `npx skills add "https://github.com/vinayaklatthe/microsoft-security-skills"` and select the relevant skills, then follow their instructions.
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