# Scan Results

Agentic security scan results provide insights into the security posture of your AI agents and agentic systems. Results are generated through systematic security probing that evaluates agent behaviors, tool permissions, and vulnerability responses. View all scan results and take action in one place.

To view results, navigate to **AI Red Teaming > Results** and select the probe from your scan results.

## Viewing Scan Details

Each scan result displays comprehensive information about detected vulnerabilities:

**Severity**: Indicates risk level (Critical, High, Medium, Low)

**Agent Component**: Shows the specific agent tool or endpoint probed

**Hostname**: Identifies the host where the component is running

**Auth Type**: Displays authentication method used

**Access Type**: Shows whether the component is public, private, or partner

**Sensitive Data**: Indicates if sensitive data exposure was detected

**Detected**: Timestamp of when the vulnerability was first found

**Impact**: Describes the potential security impact

**Tags**: Category tags (OWASP, DB Leak, Connection String Exposure, etc.)

**References**: Links to relevant vulnerability documentation

### Scan Result Timeline

View the timeline of scan attempts to understand how vulnerabilities were detected and validated across multiple probe iterations.

### Request and Response Analysis

Examine detailed request payloads and response data to understand exactly how the vulnerability manifests, including any prompt injection payloads, tool calls, or malicious inputs used during probing.

### Evidence as Agentic Conversation

The **Evidence** section displays scan results as a chronological agentic conversation. The conversation records how the agent executed the probe and how tools responded during the scan.

#### **What the Evidence Shows**

The Evidence view includes:

* The scanned interaction describing the security behaviour evaluated
* The agent response showing the sequence of tool invocations
* The exact outputs returned by each tool

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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://ai-security-docs.akto.io/akto-argus-agentic-ai-security-for-homegrown-ai/agentic-red-teaming/concepts/test-result.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.