GRC Store

Search / finos-ccc/ccc.genai.cp / v2026.06-rc4

Release · v2026.06-rc4

FINOS-CCC/CCC.GenAI.CP Capability Catalog

FINOS-CCC/CCC.GenAI.CP

Capabilities for Generative AI Platform technologies, as defined by the FINOS Common Cloud Controls project.

Published by FINOS Common Cloud Controls

Install

OCI v1.1
$grcli unpack --repository finos-ccc/ccc.genai.cp --tag v2026.06-rc4
Coordinate
oci.grc.store/finos-ccc/ccc.genai.cp:v2026.06-rc4
Manifest digest
sha256:b8528191046255ed54af8440b79bb1ca7993ad5a81d05b760d2fe22f6b4d302e

Provenance

1 layer
Digest Media type Size
5992baa0f406… application/vnd.gemara.artifact.v1+yaml 7.8 KiB
Bundle config blob 
{
  "bundle-version": "1.0",
  "gemara-version": "v1.2.0",
  "metadata": {
    "provenance": {
      "buildDefinition": {
        "buildType": "https://grc.store/grcli/buildtype/v0",
        "externalParameters": {
          "artifact": {
            "id": "CCC.GenAI.CP",
            "type": "CapabilityCatalog"
          },
          "target": {
            "registry": "oci.grc.store",
            "repository": "finos-ccc/ccc.genai.cp",
            "tag": "v2026.06-rc4"
          }
        },
        "internalParameters": {
          "CI": "true",
          "GITHUB_ACTIONS": "true",
          "GITHUB_ACTOR": "eddie-knight",
          "GITHUB_REF": "refs/heads/main",
          "GITHUB_REPOSITORY": "eddie-knight/common-cloud-controls",
          "GITHUB_RUN_ATTEMPT": "1",
          "GITHUB_RUN_ID": "26769767508",
          "GITHUB_SHA": "f469f7137938631aa09c53fd513574b93c040dc0",
          "GITHUB_WORKFLOW": "Batch Release All Catalogs",
          "RUNNER_OS": "Linux"
        },
        "resolvedDependencies": [
          {
            "name": "artifacts/ai-ml/gen-ai/capabilities.yaml",
            "uri": "file://artifacts/ai-ml/gen-ai/capabilities.yaml",
            "digest": {
              "sha256": "5992baa0f4060fa86d8f7c2ce88ec29decb4a70b8ab3159ec38ef628a97be93f"
            }
          },
          {
            "name": "source",
            "uri": "git+https://github.com/eddie-knight/common-cloud-controls@f469f7137938631aa09c53fd513574b93c040dc0",
            "digest": {
              "gitCommit": "f469f7137938631aa09c53fd513574b93c040dc0"
            }
          }
        ]
      },
      "runDetails": {
        "builder": {
          "id": "https://github.com/eddie-knight/common-cloud-controls/actions/runs/26769767508",
          "version": {
            "go": "go1.25.0",
            "go-arch": "amd64",
            "go-os": "linux",
            "grcli": "v0.2.2"
          }
        },
        "metadata": {
          "invocationId": "26769767508-1",
          "startedOn": "2026-06-01T17:07:36.017596029Z",
          "finishedOn": "2026-06-01T17:07:36.687868537Z"
        },
        "byproducts": [
          {
            "name": "capabilities.yaml",
            "digest": {
              "sha256": "5992baa0f4060fa86d8f7c2ce88ec29decb4a70b8ab3159ec38ef628a97be93f"
            }
          }
        ]
      }
    }
  },
  "artifacts": [
    {
      "name": "capabilities.yaml",
      "type": "CapabilityCatalog",
      "id": "CCC.GenAI.CP",
      "role": "artifact"
    }
  ]
}

CCC Generative AI Platform Capabilities

Capabilities for Generative AI Platform technologies, as defined by the FINOS Common Cloud Controls project.

ID
CCC.GenAI.CP
Version
v2026.06-rc4
Gemara version
v1.2.0
Author
FINOS Common Cloud Controls

Machine Learning

The Machine Learning group covers entries related to building, training, deploying, and managing ML models and AI systems. This includes development environments, experiment tracking, model registries, inference, generative AI, prompt engineering, and model governance.

  1. CCC.GenAI.CP01 Text-Based Model Selection

    Ability to select a foundation model that excels at natural language understanding and generation tasks such as summarization, translation, text generation, question answering, and sentiment analysis.

  2. CCC.GenAI.CP02 Code-Based Model Selection

    Ability to select a foundation model that focuses on code understanding, generation, and transformation tasks.

  3. CCC.GenAI.CP03 Embedding Model Selection

    Ability to select a foundation model used for tasks like semantic search, clustering, and document similarity by converting text into vector embeddings.

  4. CCC.GenAI.CP04 Image-Based Model Selection

    Ability to select a foundation model that focuses on tasks related to vision, such as image generation, editing, and manipulation.

  5. CCC.GenAI.CP05 Multimodal Model Selection

    Ability to select a foundation model that supports more than one modality, such as combining text and image.

  6. CCC.GenAI.CP06 Customizable Model Selection

    Provide users the ability to fine-tune models with their own data.

  7. CCC.GenAI.CP07 Parameter Tuning - Temperature

    Ability to control the randomness and creativity of the response.

  8. CCC.GenAI.CP08 Parameter Tuning - Max Token

    Ability to limit the length of the response.

  9. CCC.GenAI.CP09 Parameter Tuning - Top P (Nucleus Sampling)

    Ability to adjust the number of likely next tokens to consider based on cumulative probability.

  10. CCC.GenAI.CP10 Parameter Tuning - Top K

    Ability to limit the number of token choices for the next word.

  11. CCC.GenAI.CP11 Parameter Tuning - Stop Sequences

    Ability to halt generation when a predefined sequence is encountered.

  12. CCC.GenAI.CP12 Parameter Tuning - Frequency Penalty

    Ability to penalize words that have been used frequently, reducing their likelihood of being repeated.

  13. CCC.GenAI.CP13 Parameter Tuning - Presence Penalty

    Ability to penalize tokens that have already been used, encouraging the model to introduce new tokens.

  14. CCC.GenAI.CP14 Parameter Tuning - Context Length

    Ability to control how much prior conversation or input the model will use for generating coherent responses.

  15. CCC.GenAI.CP15 Text-Based Prompts

    Ability to input prompts in plain text.

  16. CCC.GenAI.CP16 Structured Prompts

    Ability to provide structured input such as JSON as prompts.

  17. CCC.GenAI.CP17 Contextual Prompts

    Ability to provide context or background information within the prompt to guide the response.

  18. CCC.GenAI.CP18 Interactive Prompts

    Ability to use conversational prompts to create interactive dialogues.

  19. CCC.GenAI.CP19 Image-Based Prompts

    Ability to input an image as a prompt to generate a response.

  20. CCC.GenAI.CP20 Custom Template Prompts

    Ability to define custom templates or structures for prompts to standardize interactions with the models.

  21. CCC.GenAI.CP21 Generate Content

    Ability to generate a response given a foundation model, parameter values, and a prompt.

  22. CCC.GenAI.CP24 Content Moderation

    Ensure the service detects and filters abusive, harmful, and sensitive information to ensure responsible and safe use of the service.

  23. CCC.GenAI.CP25 Plugin Integrations

    Ability for the model to use tools to complete a model interaction. For example web search, python code execution or external maths engine.

Data Resilience

The Data Resilience group covers entries related to ensuring data availability, integrity, and sovereignty across its lifecycle. This includes replication, backup, recovery, region restrictions, and protection against data loss or corruption.

  1. CCC.GenAI.CP22 Data Control

    Ensures prompts, model outputs, embeddings, and training data fed by customers are not used to train foundation models.

  2. CCC.GenAI.CP23 Data Storage

    Ability to retrieve previously generated outputs and prompts for the given session.