- DRIFT
- RISK
- FIX
- MANUAL
Short answer
How can I use AI to find API design flaws?
Your AI client pulls your OpenAPI specs and current posture data to spot structural weaknesses and specification drifts. You get a clear view of where your pre-production environment deviates from your intended design.
Where every issue lands.
Audit outcomes
The AI organizes your findings into these specific areas.
DRIFT
Spec drift detection
The AI compares your live environment against your OpenAPI files. It flags exactly where your implementation has strayed from the documentation.
RISK
Vulnerability mapping
Your agent identifies structural design flaws. It maps these weaknesses to your current security posture.
FIX
Remediation steps
The AI suggests how to align your API with the original specification. You get actionable guidance to close security gaps.
MANUAL
Human review
The AI highlights high-risk design flaws that require a security engineer to sign off. You decide which structural changes are safe to deploy.
The workflow
What your AI does when the data arrives.
Your AI client acts as the bridge between your Salt Security data and your security workflows.
Inventory specs
The AI pulls a list of all available OpenAPI specifications from your environment.
list_oas_specsUpload new specs
You provide a new specification file to the AI to check for changes or errors.
upload_oas_specAnalyze posture
The agent scans for existing vulnerabilities and design weaknesses in your setup.
get_posture_vulnerabilitiesCompare and report
The AI cross-references your specs against your posture data to find drifts. It presents the final list of design flaws for you to review.
list_oas_specsget_posture_vulnerabilities
Try it
Copy these to start.
Use these prompts to kick off your audit.
Starting points
These are starting points. Swap out the specific repo names or spec filenames for your own.
Salt Security Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_HEqpwxZCJGloy9SZRikbBjYA9GqrD7wwt82MwMIn/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Salt Security capabilities are ready to use.
{
"mcpServers": {
"salt-security-mcp": {
"url": "https://edge.vinkius.com/vk_preview_HEqpwxZCJGloy9SZRikbBjYA9GqrD7wwt82MwMIn/mcp"
}
}
}List all my OpenAPI specs so we can check them for drift.
Check my current posture vulnerabilities and tell me which ones are design flaws.
I'm uploading a new spec; compare it to my existing ones and find the differences.
Summarize the most critical design vulnerabilities found in my pre-production environment.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Salt Security once, then ask.
One connection links your Salt Security data to your AI. Your credentials stay encrypted and secure.
Connect Salt Security to your AIFAQ
How this task behaves
- 01
Can the AI fix the API design flaws automatically?
No. The AI identifies the flaws and suggests fixes, but you must manually apply any changes to your code or specifications.
- 02
Does the AI delete any of my OpenAPI specs?
No. The AI only reads and uploads data. It has no capability to delete files or specifications from Salt Security.
- 03
Can I use this to scan production APIs?
The tools provided are designed for auditing design flaws and posture in your pre-production environment.
- 04
How does the AI know if a spec has drifted?
The AI compares the data from your uploaded specifications against the current posture vulnerabilities reported by Salt Security.
- 05
Can the AI create new API specifications?
No. The AI can only upload existing specifications or list ones that already exist in your environment.
More questions about Salt Security? The Connector page answers them. See everything the Salt Security Connector can do
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