Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add vinayaklatthe/microsoft-security-skills --skill defender-for-cloud-aigit clone --depth 1 https://github.com/vinayaklatthe/microsoft-security-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/vinayaklatthe/microsoft-security-skills/defender-for-cloud-ai)<a href="https://agentmods.dev/skills/vinayaklatthe/microsoft-security-skills/defender-for-cloud-ai"><img src="https://agentmods.dev/badge/skills/vinayaklatthe/microsoft-security-skills/defender-for-cloud-ai/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/vinayaklatthe/microsoft-security-skills/defender-for-cloud-ai"><img src="https://agentmods.dev/badge/skills/vinayaklatthe/microsoft-security-skills/defender-for-cloud-ai.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00239 | $0.02026 |
| Opus 5 | $0.00120 | $0.01013 |
| Sonnet 5 | $0.00048 | $0.00405 |
| Haiku 4.5 | $0.00024 | $0.00203 |
Grade A, and why
defender-for-cloud-ai scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Microsoft Defender for Cloud — AI Workload Protection
Defender for Cloud's AI plan protects the AI workloads themselves — the Azure OpenAI, Azure AI Foundry, Amazon Bedrock, and Google Vertex AI deployments your organization runs. Two capabilities:
- AI Security Posture Management (AI-SPM): agentless discovery and posture (where AI is deployed, what grounding data is exposed, what misconfigurations exist).
- Runtime threat protection for AI workloads: detections on Azure OpenAI for prompt injection, jailbreaks, sensitive-data leakage, wallet abuse, and credential leakage, integrating Azure AI Content Safety Prompt Shields.
When to use
You build or operate generative AI applications on Azure OpenAI / Azure AI Foundry (and optionally Bedrock/Vertex), and need posture + runtime detection on the workload side.
Do not use this skill for end-user-side AI governance (purview-ai-hub), Content
Safety policy authoring (azure-ai-content-safety), or M365 Copilot rollout
(copilot-for-m365-readiness).
What you get
| Capability | Scope |
|---|---|
| Multicloud AI discovery | Azure (OpenAI, Foundry), AWS Bedrock, GCP Vertex AI (via existing multicloud connectors) |
| Sensitive grounding data exposure | Identifies grounding storage with sensitive data + public/over-permissive access |
| Attack path analysis | "Internet-exposed AI endpoint with sensitive grounding + over-privileged identity" |
| Runtime detections (Azure OpenAI) | Prompt injection, jailbreak, sensitive data leakage in prompts/responses, suspicious access patterns, wallet abuse |
| Prompt Shields integration | Detections leverage Content Safety prompt-shield signals |
| Alerts in Defender XDR | Correlated incidents alongside cloud and identity signals |
Approach
- Prereqs. Defender for Cloud enabled at subscription scope. Defender CSPM plan on (provides AI-SPM via attack path analysis). Defender for AI Services runtime plan on for Azure OpenAI workloads. For non-Microsoft clouds, the AWS/GCP connector must already be in place.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 145 lines · 239 tokens per session scan A 3a9be716adc5
defender-for-cloud-ai is a skill published in the GitHub repository vinayaklatthe/microsoft-security-skills (173 stars, last pushed 2mo ago), licensed MIT. It adds 239 tokens to every session and 2,026 once invoked, about $0.0012 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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