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This query identifies AI agents that contain hard-coded credentials in their declared tools, triggers, MCP servers, skills, capabilities, or raw agent configuration. Storing credentials in clear text within agent logic creates a security risk because these secrets can be exposed to unintended users or attackers. If compromised, credentials could allow unauthorized access to external systems, APIs, or sensitive data. Recommended Action: Avoid embedding credentials directly in tools or configurati
| Attribute | Value |
|---|---|
| Type | Hunting Query |
| Solution | GitHub Only |
| ID | fdc8a7ec-586d-4021-a78a-d27544986178 |
| Tactics | CredentialAccess, InitialAccess |
| Techniques | T1552, T1078 |
| Source | [View on GitHub](https://github.com/Azure/Azure-Sentinel/blob/master/Hunting Queries/AI%20Agents/AgentsInfoHardCodedCredentials.yaml) |
This content item queries data from the following tables:
| Table | Transformations | Ingestion API | Lake-Only |
|---|---|---|---|
IdentityInfo |
✓ | ✗ | ? |
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