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VeronicaSnyk merged 1 commit into from
Jun 26, 2026
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chore: new aibom languages #1408

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2 changes: 1 addition & 1 deletion developer-tools/snyk-cli/cli-commands-and-options-summary.md
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Expand Up @@ -100,7 +100,7 @@ Check an SBOM for vulnerabilities in open-source packages.

### [`snyk aibom`](commands/aibom.md)

Generates an AI-BOM for a local software project that is written in Python, to help you understand what AI models, datasets, tools, and so on are used in that project.
Generates an AI-BOM for a local software project written in Python, Java, JavaScript, or Go, to help you understand what AI models, datasets, tools, and so on are used in that project.

### [`snyk apps`](../snyk-api/using-specific-snyk-apis/snyk-apps-apis/create-a-snyk-app-using-the-snyk-cli.md)

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2 changes: 1 addition & 1 deletion developer-tools/snyk-cli/commands/README.md
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Expand Up @@ -50,7 +50,7 @@ Generate or test an SBOM document in ecosystems supported by Snyk.

### [`snyk aibom`](aibom.md)

Generates an AIBOM for a local software project that is written in Python, to understand what AI models, datasets, tools, and so on are used in that project.
Generates an AIBOM for a local software project written in Python, Java, JavaScript, or Go, to understand what AI models, datasets, tools, and so on are used in that project.

### [`snyk aibom test`](aibom-test.md)

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2 changes: 1 addition & 1 deletion developer-tools/snyk-cli/commands/aibom.md
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## Description

The `snyk aibom` command generates an AI-BOM for a local software Project that is written in Python. You can use the `snyk aibom` command to identify AI models, datasets, and map the AI supply chain, including connections to external tools and services using the Model Context Protocol (MCP).
The `snyk aibom` command generates an AI-BOM for a local software Project written in Python, Java, JavaScript, or Go. You can use the `snyk aibom` command to identify AI models, datasets, and map the AI supply chain, including connections to external tools and services using the Model Context Protocol (MCP).

The supported format is CycloneDX v1.6 (JSON).

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2 changes: 1 addition & 1 deletion docs/developer-tools/snyk-cli/cli-commands-and-options-summary.md
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Expand Up @@ -100,7 +100,7 @@ Check an SBOM for vulnerabilities in open-source packages.

### [`snyk aibom`](commands/aibom.md)

Generates an AI-BOM for a local software project that is written in Python, to help you understand what AI models, datasets, tools, and so on are used in that project.
Generates an AI-BOM for a local software project written in Python, Java, JavaScript, or Go, to help you understand what AI models, datasets, tools, and so on are used in that project.

### [`snyk apps`](../../snyk-api/using-specific-snyk-apis/snyk-apps-apis/create-a-snyk-app-using-the-snyk-cli.md)

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2 changes: 1 addition & 1 deletion docs/developer-tools/snyk-cli/commands/README.md
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Expand Up @@ -50,7 +50,7 @@ Generate or test an SBOM document in ecosystems supported by Snyk.

### [`snyk aibom`](aibom.md)

Generates an AIBOM for a local software project that is written in Python, to understand what AI models, datasets, tools, and so on are used in that project.
Generates an AIBOM for a local software project written in Python, Java, JavaScript, or Go, to understand what AI models, datasets, tools, and so on are used in that project.

### [`snyk aibom test`](aibom-test.md)

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2 changes: 1 addition & 1 deletion docs/developer-tools/snyk-cli/commands/aibom.md
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Expand Up @@ -13,7 +13,7 @@

## Description

The `snyk aibom` command generates an AI-BOM for a local software Project that is written in Python. You can use the `snyk aibom` command to identify AI models, datasets, and map the AI supply chain, including connections to external tools and services using the Model Context Protocol (MCP).
The `snyk aibom` command generates an AI-BOM for a local software Project written in Python, Java, JavaScript, or Go. You can use the `snyk aibom` command to identify AI models, datasets, and map the AI supply chain, including connections to external tools and services using the Model Context Protocol (MCP).

The supported format is CycloneDX v1.6 (JSON).

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2 changes: 1 addition & 1 deletion ...dio-agentic-integrations/quickstart-guides-for-snyk-studio/claude-code-guide.md
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Expand Up @@ -34,7 +34,7 @@ Select **View Tools** to look at all of the commands and tooling Snyk uses as pa

| Tool | Description |
| --------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `snyk_aibom` | Generates an AI Bill of Materials (AI-BOM) for Python software projects in CycloneDX v1.6 JSON format. This experimental feature analyzes local Python projects to identify AI models, datasets, tools, and other AI-related components. Requires an active internet connection and access to the experimental feature (available on request). The command must be run from within a Python project directory and requires the CLI from the preview release channel. |
| `snyk_aibom` | Generates an AI Bill of Materials (AI-BOM) for Python, Java, JavaScript, and Go software projects in CycloneDX v1.6 JSON format. This experimental feature analyzes local projects written in those languages to identify AI models, datasets, tools, and other AI-related components. Requires an active internet connection and access to the experimental feature (available on request). The command must be run from within a supported project directory and requires the CLI from the preview release channel. |
| `snyk_auth` | Authenticate the user with Snyk. |
| `snyk_code_scan` | <p>Performs Static Application Security Testing (SAST) directly from the Snyk MCP. It analyzes an application's source code with a SAST scan to identify security vulnerabilities and weaknesses without executing the code.</p><p>Supported languages:</p><p>Apex, C/C++, Dart and Flutter, Elixir, Go, Groovy, Java and Kotlin, Javascript, .NET, PHP, Python, Ruby, Rust, Scala, Swift and Objective-C, Typescript, VB.NET</p> |
| `snyk_container_scan` | Scans container images for known vulnerabilities in OS packages and application dependencies. |
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2 changes: 1 addition & 1 deletion ...udio-agentic-integrations/quickstart-guides-for-snyk-studio/gemini-cli-guide.md
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Expand Up @@ -30,7 +30,7 @@ The list of tools installed as a part of Snyk Studio are listed below. These too

| Tool | Description |
| --------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `snyk_aibom` | Generates an AI Bill of Materials (AI-BOM) for Python software projects in CycloneDX v1.6 JSON format. This experimental feature analyzes local Python projects to identify AI models, datasets, tools, and other AI-related components. Requires an active internet connection and access to the experimental feature (available on request). The command must be run within a Python project directory and requires the CLI from the preview release channel. |
| `snyk_aibom` | Generates an AI Bill of Materials (AI-BOM) for Python, Java, JavaScript, and Go software projects in CycloneDX v1.6 JSON format. This experimental feature analyzes local projects written in those languages to identify AI models, datasets, tools, and other AI-related components. Requires an active internet connection and access to the experimental feature (available on request). The command must be run from within a supported project directory and requires the CLI from the preview release channel. |
| `snyk_auth` | Authenticates the user with Snyk. |
| `snyk_code_scan` | <p>Performs Static Application Security Testing (SAST) directly from the Snyk MCP. This command analyzes an application's source code with a SAST scan to identify security vulnerabilities and weaknesses without executing the code.</p><p>Snyk supports:</p><p>Apex, C/C++, Dart and Flutter, Elixir, Go, Groovy, Java and Kotlin, Javascript, .NET, PHP, Python, Ruby, Rust, Scala, Swift and Objective-C, Typescript, VB.NET</p> |
| `snyk_container_scan` | Scans container images for known vulnerabilities in OS packages and application dependencies. |
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