{"data":{"slug":"privacera-paig","name":"paig","tagline":"Protects Generative AI applications by ensuring security, safety, and observability","github_url":"https://github.com/privacera/paig","owner":"privacera","repo":"paig","owner_avatar_url":"https://avatars.githubusercontent.com/u/69572925?v=4","primary_language":"CSS","stars":211,"forks":217,"topics":["compliance","genai","guardrails","security"],"archived":false,"github_pushed_at":"2025-08-05T15:00:08+00:00","maintenance_label":"Dormant","stars_delta_30d":-1,"url":"https://www.graphcanon.com/tools/privacera-paig","markdown_url":"https://www.graphcanon.com/tools/privacera-paig.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/privacera-paig","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=privacera-paig","description":"PAIG (Pronounced similar to paige or payj) is an open-source project designed to protect Generative AI (GenAI) applications by ensuring security, safety, and observability.","homepage_url":"https://paig.ai","license":"Apache-2.0","open_issues":57,"watchers":8,"ai_summary":"PAIG is an open-source tool for securing GenAI apps, focusing on compliance and guardrails.","readme_excerpt":"## Quick Start\n\nTo quickly try out PAIG, you can use the Google Colab Notebook or the downloadable Jupyter Notebook. Here is the\nlink to the <a href=\"https://docs.paig.ai/index.html\" target=\"_blank\">Quick Start Guide & Documentation</a>\n\n---\n\n## License\n\nPAIG is licensed under the Apache License v2. For more details, please see the [LICENSE](LICENSE) file.","github_created_at":"2024-07-23T03:32:38+00:00","created_at":"2026-07-15T10:42:46.293706+00:00","updated_at":"2026-09-20T04:25:53.774728+00:00","categories":[{"slug":"developer-tools","name":"Developer Tools","url":"https://www.graphcanon.com/categories/developer-tools","markdown_url":"https://www.graphcanon.com/categories/developer-tools.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/developer-tools"},{"slug":"evaluation-observability","name":"Evaluation & Observability","url":"https://www.graphcanon.com/categories/evaluation-observability","markdown_url":"https://www.graphcanon.com/categories/evaluation-observability.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/evaluation-observability"}],"tags":[{"slug":"compliance","name":"compliance"},{"slug":"genai","name":"genai"},{"slug":"guardrails","name":"guardrails"},{"slug":"security","name":"security"}],"trust":{"provenance":{"is_fork":false,"github_id":832444464,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-11T06:00:55.173Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":0,"days_since_push":401,"last_release_at":"2025-07-25T09:23:39Z","stars_delta_30d":-1,"open_issues_delta_30d":0},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-15T10:42:47.578Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-11T06:00:55.631Z"},"languages":{"value":["css"],"source":"github.language","observed_at":"2026-09-11T06:00:55.631Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-09-11T06:00:55.631Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["You should use PAIG when you are working with generative AI applications where strict adherence to compliance protocols is necessary.","Use it if your project requires extensive observability features to monitor the performance of GenAI components."],"when_not_to_use":["Avoid using PAIG if your application does not require stringent safety and security measures specific to generative AI systems.","Do not use PAIG when working on non-generative AI projects as it is specifically tailored for GenAI applications."],"source":"enrich:decision_facts","observed_at":"2026-07-17T06:03:50.539Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"PAIG is an open-source security tool for generative AI applications that focuses on compliance and guardrails."}]}}