> ## Documentation Index
> Fetch the complete documentation index at: https://docs.vidocsecurity.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Learnings
> AI-driven rules from ignored issues to reduce false positives
Learnings are rules Vidoc creates when you ignore issues. They help Vidoc avoid flagging similar false positives in future scans.
## How Learnings Work
```mermaid theme={null}
flowchart LR
A[Ignore Issue] --> B[Provide Reason]
B --> C[Learning Created]
C --> D[Future Scans]
D --> E[Similar Issues Filtered]
```
1. You find a false positive issue
2. Click **"Ignore"** and provide a reason
3. Vidoc creates a learning from the context
4. Future scans apply the learning automatically
5. Similar false positives are filtered out
## Creating Effective Learnings
When ignoring an issue, provide clear, specific reasons:
| Good Reason | Why It's Effective |
| ---------------------------------------------------- | ------------------------------ |
| "Input is sanitized by sanitizeHtml() in middleware" | Explains the security control |
| "This is a test file, not production code" | Identifies context |
| "User input is validated against allowlist" | Describes protection mechanism |
Better reasons create more accurate learnings. Be specific about why the issue is a false positive.
## Viewing Learnings
The Learnings page displays:
* **Learning ID** - Unique identifier
* **Reason** - Why the original issue was ignored
* **Created** - When the learning was created
* **Applied Count** - Number of issues this learning affects
### Learning Details
Click a learning to see:
* Original issue that triggered the learning
* All issues where this learning is applied
* Full context and code snippets
## Managing Learnings
### Delete a Learning
If a learning is too broad or no longer valid:
1. Click the learning
2. Click **"Delete Learning"**
3. Affected issues return to Open status
Deleting a learning may cause previously filtered issues to reappear in future scans.
### Review Applied Issues
To see which issues a learning affects:
1. Click the learning
2. View the **"Applied Issues"** section
3. Review if the learning is correctly applied
## Best Practices
* **Review learnings periodically** - Ensure they're still valid
* **Use specific reasons** - Vague reasons create imprecise learnings
* **Don't ignore real issues** - Only create learnings for true false positives
* **Check applied count** - High counts may indicate overly broad learnings
## Related Pages
Ignore issues to create learnings
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