AI-SPM glossary↑
This screen label index serves as a comprehensive glossary for the terms and identifiers found throughout the AI-SPM interface. As you navigate various dashboards and inventory views, use this guide to quickly verify the definition of a specific label, understand the logic behind the data presented, and identify exactly which screens contain that information.
| Label | Description | Screen(s) |
|---|---|---|
| Agents | Autonomous systems that utilize models, tools, and data to perform complex actions within your codebase. |
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| Agents at risk | Lists autonomous agents ranked by number of occurrences. | AI security dashboard |
| Agents by severity | Provides details on the security configuration of each discovered autonomous agent. | AI security dashboard |
| AI-SPM objects analyzed | The type of asset (Models, Agents, or MCP servers) that triggered a specific security rule. |
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| Ask AI | An AI-powered assistant that uses Retrieval-Augmented Generation (RAG) to provide support for understanding and resolving cryptographic and security issues. | All screens |
| Columns | UI control to customize visible data fields in the table. |
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| Context | The domain or specific environment for which the agent is designed. |
|
| Critical issues (%) | Percentage of assets flagged with a Critical severity rating. | AI security dashboard |
| Data source(s) | The source where the model, agent, or server was discovered (for example, GitHub). | Inventory (All screens) |
| Details (Inventory) | Opens the asset details panel providing additional insights such as specific Locations, Issues generated for that item, and Sessions history. |
|
| Details (Issues) | Opens the Issue details panel providing a deep dive into the rule violation, the scope of impact, and a Security knowledge graph of impacted assets. | |
| Export | Function to download the current data view in CSV format. | Inventory (All screens) |
| High issues (%) | Percentage of assets flagged with a High severity rating. | AI security dashboard |
| Input guardrail | The security measure or policy applied to filter or validate user input before it reaches the agent. |
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| Issue occurrences | The total number of unique assets impacted by a specific rule violation. |
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| IT asset | The name of the asset (host, endpoint, or device) included in a scan. |
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| Last scanned | The date and time of the most recent scan that detected this asset. | Inventory (All screens) |
| Library | The framework used to train/query a model, define an agent, or implement an MCP server. | Inventory (All screens) |
| Locations | Identifies where the item was discovered. |
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| Manage AI-SPM rules | Navigation to settings for configuring active AI security rules. |
|
| Manufacturer | The organization or group that created the model. |
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| MCP servers | Server components that expose specific tools or capabilities to agents, typically following the Model Context Protocol. |
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| MCP servers at risk | Tracks server components that expose specific tools or capabilities to agents. | AI security dashboard |
| MCP servers by severity | Lists the discovered servers that facilitate communication and tooling for agents. | AI security dashboard |
| Model | The specific model the agent is configured to use (such as gemini-2.0-flash or gpt-4). |
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| Model health score | A metric indicating the overall security health of the model based on its configuration and associated issues. |
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| Model type | Specifies the model deployment type (Self-hosted / Managed). |
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| Models | A complete inventory of the trained artificial intelligence components discovered in your code repositories. |
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| Models at risk | Lists models ranked by number of occurrences. | AI security dashboard |
| Models by severity | Organizes model data by the highest severity level of any open issue associated with the model. | AI security dashboard |
| Name | The unique identifier or file name of the model, agent, or MCP server. | Inventory (All screens) |
| Output guardrail | The security measure or policy applied to filter or validate the agent’s output before it is delivered to the user. |
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| Path | The specific file path or repository location where an asset was found. |
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| Repos w/ AI assets | Centralized hub for managing all artificial intelligence components discovered in your code repositories. | AI security dashboard |
| Rule (AI-SPM) | The specific security rule or policy being evaluated against AI assets. |
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| Sessions | Detailed breakdown of an item’s history, including the date, time, and data source(s). |
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| Severity | The highest severity level of any open security issue currently associated with the asset. |
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| Size | The file size or parameter count of the model (for example, 130m, 8b). |
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| Supplier | The external entity or service where the model is hosted (for example, Hugging Face, Google, OpenAI). |
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| Timestamp | The date and time of a specific operation or event. | Inventory |
| Tools | The specific external functions or capabilities the agent can use (for example, get_current_time). |
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| Top Critical & High severity issues | Highlights the most severe security vulnerabilities discovered. | AI security dashboard |