{"id":33423948,"url":"https://github.com/mitre-atlas/atlas-data","last_synced_at":"2026-04-02T19:26:05.930Z","repository":{"id":42623929,"uuid":"443089342","full_name":"mitre-atlas/atlas-data","owner":"mitre-atlas","description":"ATLAS tactics, techniques, and case studies data","archived":false,"fork":false,"pushed_at":"2026-03-31T03:21:52.000Z","size":1597,"stargazers_count":121,"open_issues_count":4,"forks_count":26,"subscribers_count":6,"default_branch":"main","last_synced_at":"2026-03-31T05:52:40.445Z","etag":null,"topics":["ai-security","machine-learning","mitre-atlas","mitre-attack","security"],"latest_commit_sha":null,"homepage":"https://atlas.mitre.org","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/mitre-atlas.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2021-12-30T13:53:29.000Z","updated_at":"2026-03-31T03:21:44.000Z","dependencies_parsed_at":"2024-03-15T23:22:31.561Z","dependency_job_id":"8b2030a7-5acc-4df6-8991-a386cea12447","html_url":"https://github.com/mitre-atlas/atlas-data","commit_stats":null,"previous_names":[],"tags_count":29,"template":false,"template_full_name":null,"purl":"pkg:github/mitre-atlas/atlas-data","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mitre-atlas%2Fatlas-data","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mitre-atlas%2Fatlas-data/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mitre-atlas%2Fatlas-data/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mitre-atlas%2Fatlas-data/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mitre-atlas","download_url":"https://codeload.github.com/mitre-atlas/atlas-data/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mitre-atlas%2Fatlas-data/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31314377,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-02T12:59:32.332Z","status":"ssl_error","status_checked_at":"2026-04-02T12:54:48.875Z","response_time":89,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai-security","machine-learning","mitre-atlas","mitre-attack","security"],"created_at":"2025-11-24T04:00:38.110Z","updated_at":"2026-04-02T19:26:05.886Z","avatar_url":"https://github.com/mitre-atlas.png","language":"Python","funding_links":[],"categories":["Python"],"sub_categories":[],"readme":"# MITRE | ATLAS Data\n\nATLAS enables researchers to navigate the landscape of threats to artificial intelligence systems.  Visit https://atlas.mitre.org for more information.\n\nThis repository contains tactics, techniques, mitigations, case studies, and other data used by the ATLAS website and associated tools.\n\n## Distributed files\n\nLocated the `dist` directory:\n\n- `ATLAS.yaml`\n    + All ATLAS-related data available in one file\n    + See the schemas and usage below for more details. Top-level keys include:\n        ```yaml\n        id: ATLAS\n        name: Adversarial Threat Landscape for AI Systems\n        version: Version number for this data release\n\n        matrices: List of matrix data\n        - id: ATLAS\n          name: ATLAS Matrix\n          tactics: List of tactic objects\n          techniques: List of technique and subtechnique objects\n          mitigations: List of mitigation objects\n\n        case-studies: List of case study objects\n        ```\n- `schemas/`\n    + Optional JSON Schema files for validation use\n    + `atlas_output_schema.json`\n        * Describes the `ATLAS.yaml` format\n    + `atlas_website_case_study_schema.json`\n        * Describes the case study file format\n\n### Getting the files\n\nClone this repository to get access to the distributed files, or alternatively directly access via raw GitHub link.\n\n#### As a Git submodule\n\nThe [ATLAS Website](https://github.com/mitre-atlas/atlas-website) uses this data repository as a Git submodule for access to the distributed files.\n\nTo add this repository as a submodule to your own repository, run the following which clones into the directory `atlas-data`.\n\n```bash\ngit submodule add -b main \u003catlas-data-repository\u003e\n```\n\nOnce the submodule is available, run the following once to sparse checkout only the necessary files in the `dist` directory.  Assumes that the submodule is available at the path `atlas-data`.\n```bash\ngit -C atlas-data config core.sparseCheckout true\necho 'dist/*' \u003e\u003e .git/modules/atlas-data/info/sparse-checkout\ngit submodule update --force --checkout atlas-data\n```\n\nTo update `atlas-data`, run `git submodule update --remote` to get the latest from its main branch, then commit the result.\n\n### Example usage\n\nThe following code blocks show examples of parsing ATLAS data.  Assume `atlas_data_filepath` holds the path to the `ATLAS.yaml` file.\n\n#### Python\n```python\n# pip install pyyaml\nimport yaml\n\nwith open(atlas_data_filepath) as f:\n    # Parse YAML\n    data = yaml.safe_load(f)\n\n    first_matrix = data['matrices'][0]\n    tactics = first_matrix['tactics']\n    techniques = first_matrix['techniques']\n\n    studies = data['case-studies']\n```\n\n#### NodeJS\n```js\nconst fs = require('fs')\n// npm install js-yaml\nconst yaml = require('js-yaml')\n\nfs.readFile(atlas_data_filepath, 'utf-8', (_, contents) =\u003e {\n    // Parse YAML\n    const data = yaml.load(contents)\n\n    const first_matrix = data['matrices'][0]\n\n    const tactics = first_matrix['tactics']\n    const techniques = first_matrix['techniques']\n\n    const studies = data['case-studies']\n})\n```\n\n### JSON Schema validation example\n\nJSON Schema files are generated from this project's internal [schemas](schemas/README.md) for other tools to use. For example, the ATLAS website validates uploaded case study files against the case study schema file with the following:\n\n#### NodeJS\n\n```js\n// npm install jsonschema\nimport { validate } from 'jsonschema'\nimport caseStudySchema from '\u003cpath_to_case_study_schema_file\u003e'\n\n// Assume this is a populated website case study object\nconst caseStudyObj = {...}\n\n// Validate case study object against schema and emit errors that may occur from nested `anyOf` validations\nconst validatorResult = validate(caseStudyObj, caseStudySchema, { nestedErrors: true })\n\nif (validatorResult.valid) {\n    // Good\n} else {\n    // Process validatorResult.errors\n}\n\n```\n\n## Development\n\nThis repository also contains the source data and scripts to customize and expand the ATLAS framework.  See [setup instructions](tools/README.md#development-setup) and the READMEs in each directory linked below for usage.\n\n- [Data](data/README.md) holds templated data for ATLAS tactics, techniques, and case studies, from which `ATLAS.yaml` is generated.\n- [Schemas](schemas/README.md) defines each ATLAS object type and ID.\n- [Tools](tools/README.md) contains scripts to generate the distributed files and import data files.\n\n**Tests**\n\nThis project uses `pytest` for data validation. See [tests](tests/README.md) for more information.\n\n\n## Related work\n\nATLAS is modeled after the [MITRE ATT\u0026CK® framework](https://attack.mitre.org). ATLAS tactics and techniques can be complementary to those in ATT\u0026CK.\n\nATLAS data is also available in [STIX and ATT\u0026CK Navigator layer formats](https://github.com/mitre-atlas/atlas-navigator-data) for use with the [ATLAS Navigator](https://mitre-atlas.github.io/atlas-navigator/).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmitre-atlas%2Fatlas-data","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmitre-atlas%2Fatlas-data","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmitre-atlas%2Fatlas-data/lists"}