> For the complete documentation index, see [llms.txt](https://ai-security-docs.akto.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ai-security-docs.akto.io/akto-atlas-agentic-ai-security-for-employee-endpoints/endpoint-security-posture.md).

# AI Security Posture

The **AI Security Posture** dashboard gives you a high-level, executive view of AI security across your organization’s endpoints. It is designed to help you quickly understand risk exposure, AI usage, threat activity, and compliance gaps, without needing to dive into operational details.

With a single view, you can assess how AI agents, MCP servers, and LLMs are being used across your environment and where your organization is most vulnerable.

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## What You Get at a Glance

* A summary of your **AI-powered endpoint footprint**
* Visibility into **exploits and sensitive data risks**
* Insight into **how employees are using AI tools**
* A clear view of **top threats and guardrail effectiveness**
* Alignment with **key compliance frameworks**

{% hint style="info" %}
Every widget on this dashboard can be rearranged by its drag handle or removed with its **×**, and you can restore the default layout at any time with **Reset Layout** at the top of the page.
{% endhint %}

## Key Capabilities

### 1. Endpoint Summary

You get a quick snapshot of your overall security posture:

* **Total Agentic Assets** → How widely AI is deployed across your endpoints
* **Successful Exploits** → Where attacks are succeeding
* **Sensitive Data Events** → Potential data exposure risks
* **AI Average Guardrail Score** → How effectively your protections are working

This allows you to **instantly gauge whether your AI security posture is improving or deteriorating**.

### 2. Visibility into AI Usage Across Endpoints

You can see how AI is actually being used in your organization, broken out into three widgets:

* **Common AI Agents** → Which AI agents and tools (e.g., Claude CLI, Cursor, VS Code) are most active
* **Common LLMs in browsers** → Which LLMs are accessed via browsers (e.g., chatgpt.com, claude.ai, gemini.google.com), including potential shadow usage
* **Common MCP Servers** → Which MCP servers are most commonly connected (e.g., node\_repl, computer-use, filesystem)

This helps you answer critical questions like:

* *Where is AI being used the most?*
* *Are there unmanaged or risky tools in use?*

### 3. Guardrail Activity Overview

You get a categorised view of threats across your environment:

* Prompt injection (direct and indirect)
* Malicious components
* Policy violations
* Sensitive data detection

The trend view helps you:

* Spot **spikes in attacks**
* Understand **emerging risk patterns**
* Track how threats evolve over time

### 4. Compliance Risk Overview

The **Compliance at Risks** widget shows how your AI usage aligns with major frameworks, such as FedRAMP, MITRE ATLAS, CIS Controls, and CMMC, each showing the **percentage of controls at risk**. It reads "No compliance risk data available" until Akto has enough signal to evaluate your posture against these frameworks.

This helps you:

* Quickly understand compliance exposure
* Prioritise remediation aligned with regulatory requirements

## Why This Matters for You

As an executive, you don’t need raw logs, you need **clarity and direction**.

This dashboard helps you:

* Understand your **organization’s AI risk posture in seconds**
* Identify **where attention is needed most**
* Track whether your **security investments are effective**
* Ensure your organization stays **secure and compliant as AI adoption grows**