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JFrogパートナーエコシステム Discover our network of channel, technology, and cloud partners.
チャネルパートナー検索 お住まいの地域のJFrogチャネルパートナーとつながりましょう。
MyJFrog for Partners Manage subscriptions, monitor usage, and track customer renewals.
コミュニティ JFrogのコミュニティをチェックし、専門家のリソースを確認し、最新のコミュニティニュースを入手しましょう。
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サポート JFrogサポートやFAQでチケットを開いたり、支援を受けたり、回答を検索したりできます。

AIの概要

エージェントの信頼性は、取り込み・生成・配布するものの信頼性によって決まります。JFrogは、すべてのAIモデル、Agent Skills、MCPサーバー、AI生成コード、そして生成されたアーティファクトを単一の信頼できる管理基盤(Single Source of Truth)で統制します。

エージェント型ソフトウェアサプライチェーン全体をセキュアに保護することで、新しい開発スピードでも信頼できるソフトウェアを提供できます。

詳細へ
JFrog AI製品
JFrog AI Catalog AIのエコシステムの検出、管理、保護
JFrog AIエコシステム
NVIDIA Cursor GitHub
New Capabilities
MCP Registry Agent Skills Registry
JFrog AIリソース
エージェント型ソフトウェアのサプライチェーンセキュリティ:AIを活用したキュレーションと修復 5つのステップでシャドーAIを検出・排除する方法 モデルを超えて:JFrog AI CatalogがシャドーAIを検出し、MCPを管理する機能を進化 AppTrust、AI Catalogなど – JFrogによるライブ製品紹介 MLOpsマスタークラス:AI/MLワークロードのエンドツーエンドの制御とガバナンスを実現 混沌から制御へ:AIサプライチェーンの将来性を確保 その他のリソースを見る
エージェントAI
JFrog boost logo
Save Tokens, Maximize Context for Coding Agents.
詳細へ

AI Overview

JFrog immunizes what agents consume and controls how they build and deploy — every AI model, agent skill, plugin, MCP server, package, and AI-generated artifact, governed in a single source of truth.

A trusted agentic workforce.
This is AgentSecOps.

Learn More
Trusted AI
JFrog AI Catalog Trust Your Agentic Workforce
Agent Guard
MCP Registry
Agent Skills Registry
Plugins Registry
APM Registry
Model Registry
AI Integrations
Claude Cursor Codex Hugging Face NVIDIA Visual Studio Code Devin Kiro Open Code NanoClaw See all integrations
AI Resources
The Agentic Development Security Discipline Automated Remediation Managing Agent Primitives Like Software Artifacts AI Catalog Solution Sheet Access JFrog with AI Agents AI Assets Under Control: Enforcing Policies on your Coding Agents See More Resources
Agentic Development
JFrog Boost Save Tokens, Maximize Context for Coding Agents.
Learn More
JFrog Agent Plugin Connect Coding Agents Natively to Your JFrog Platform.
Learn More

Supply Chain Solutions

The universal and adaptable JFrog Platform solves essential cross-industry agentic software supply chain challenges.

Use Cases
Artifact Management Self-Healing Software Supply Chain Software Supply Chain Governance Artifact Data Retention Global Enterprise Scale Trusted Agentic Workforce
Ecosystem Integrations

Build on a universal platform that gives you freedom of choice across your AI and software supply chain.

Claude Cursor Codex GitHub NVIDIA
Docker npm PyPy Wiz ServiceNow See all Integrations
Industry

Accelerate software delivery while meeting strict regulatory standards like HIPAA and FedRAMP

Financial Services Gaming Public Sector
Automotive Technology Healthcare
ユースケース
AI/ML
モデルライフサイクル管理(MLOps) データエンジニアリングと機能管理(DataOps) AI/MLの開発と展開 MLSecOps エージェント型の修復 一元化されたAI制御とガバナンス (JFrog AI Catalog)
DevSecOps
包括的なソフトウェアサプライチェーンのセキュリティ オープンソースパッケージのキュレーション ソースコードスキャン(SAST) ソフトウェア構成分析(SCA) シークレット検出 コードとしてのインフラストラクチャ(IaC)の保護
DevOps
開発者エクスペリエンス アーティファクト管理 ツールの統合
デバイス/IoT
接続デバイス管理
クラウドソリューション
柔軟なクラウド展開ソリューション
統合
ServiceNow GitHub NVIDIA
Docker Maven すべての統合を見る
産業
金融サービス 公共機関 テクノロジー 医療
ゲーミング 自動車 Enterprise

The JFrog Platform

信頼できるソフトウェアを、迅速に届ける

信頼できるリリースの提供を自動化するために、エンドツーエンドの可視性、セキュリティ、コントロールを提供する唯一のソフトウェアサプライチェーンプラットフォームです

DevOps、DevSecOps、MLOpsの各チームを、単一の信頼できる情報基盤のもとに結びつけます
プラットフォームを表示
DevOps
JFrog Artifactory ユニバーサルアーティファクトとMLモデルのリポジトリマネージャー
JFrog Distribution 利用拠点間での安全なソフトウェア配布
JFrog Connect DevOpsの俊敏性を備えたIoTデバイス管理
DevSecOps
JFrog Curation ソフトウェアパッケージとMLモデルをシームレスに選定・管理
JFrog Security
Essentials (Xray)
ソフトウェアとAIアーティファクトのための統合SCA
JFrog Advanced Security サプライチェーンのエクスポージャースキャンと影響分析
JFrog Runtime ランタイム脆弱性のリアルタイム可視化
DevGovOps
JFrog AppTrust アプリケーションリスクガバナンス
AI/ML
JFrog ML AI/MLモデルの構築、トレーニング、運用、監視
JFrog AI Catalog AIのエコシステムの検出、管理、保護
新しい機能
MCPレジストリ
エンタープライズ規模でのMCPのガバナンスとセキュリティ
エージェントスキルレジストリ
信頼できるAIエージェントのためのエンタープライズ統制スキル

The JFrog Platform

The Single Source of Truth for the Agentic Software Supply Chain.

The infrastructure that establishes, enforces, and tracks trust in your software. Uniting DevOps, DevSecOps, DevGovOps, and AgentSecOps on a single source of truth.

Trust your speed. Adapt without losing control.
View Platform
DevOps
JFrog Artifactory Universal AI Asset & Artifact Management
JFrog Distribution Secure Distribution Across Consumption Points
JFrog Connect IoT Device Management with DevOps Agility
DevSecOps
JFrog Curation Policy-driven curation of software & AI components
JFrog Xray (SCA) Integrated SCA for Software & AI Artifacts
NEW
Zero-Touch Remediation Automatically Fix Risks at the Speed of Frontier AI
JFrog Advanced Security Supply Chain Exposure Scanning & Impact Analysis
Contextual Analysis
Secrets Detection
SAST
Infrastructure as Code
Runtime Integrity
AgentSecOps
JFrog AI Catalog Immunize and Control Your Agent Lifecycle
Agent Guard NEW
Plugin Registry NEW
APM Registry NEW
MCP Registry
Agent Skills Registry
Model Registry
DevGovOps
JFrog AppTrust Continuous governance and compliance
OOTB Compliance Frameworks NEW
Policy-as-Code Playground NEW
Post-Release Governance NEW
Prompt-to-Release Traceability NEW
  • The JFrog Platform

    The Single Source of Truth for the Agentic Software Supply Chain.

    The infrastructure that establishes, enforces, and tracks trust in your software. Uniting DevOps, DevSecOps, DevGovOps, and AgentSecOps on a single source of truth.

    Trust your speed. Adapt without losing control.
    View Platform
    DevOps
    JFrog Artifactory Universal AI Asset & Artifact Management
    JFrog Distribution Secure Distribution Across Consumption Points
    JFrog Connect IoT Device Management with DevOps Agility
    DevSecOps
    JFrog Curation Policy-driven curation of software & AI components
    JFrog Xray (SCA) Integrated SCA for Software & AI Artifacts
    Zero-Touch RemediationNEW Automatically Fix Risks at the Speed of Frontier AI
    JFrog Advanced Security Supply Chain Exposure Scanning & Impact Analysis
    Contextual Analysis
    Secrets Detection
    SAST
    Infrastructure as Code
    Runtime Integrity
    AgentSecOps
    JFrog AI Catalog Immunize and Control Your Agent Lifecycle
    Agent Guard NEW
    Plugin Registry NEW
    APM Registry NEW
    MCP Registry
    Agent Skills Registry
    Model Registry
    DevGovOps
    JFrog AppTrust Continuous governance and compliance
    OOTB Compliance Frameworks NEW
    Policy-as-Code Playground NEW
    Post-Release Governance NEW
    Prompt-to-Release Traceability NEW
  • Supply Chain Solutions

    The universal and adaptable JFrog Platform solves essential cross-industry agentic software supply chain challenges.
    Use Cases
    Artifact Management Self-Healing Software Supply Chain Software Supply Chain Governance Artifact Data Retention Global Enterprise Scale Trusted Agentic Workforce
    Ecosystem Integrations

    Build on a universal platform that gives you freedom of choice across your AI and software supply chain.

    Claude Cursor Codex GitHub NVIDIA Docker npm PyPy Wiz ServiceNow
    See all Integrations
    Industry

    Accelerate software delivery while meeting strict regulatory standards like HIPAA and FedRAMP

    Financial Services Gaming Public Sector Automotive Technology Healthcare
  • AI Overview

    JFrog immunizes what agents consume and controls how they build and deploy — every AI model, agent skill, plugin, MCP server, package, and AI-generated artifact, governed in a single source of truth.

    A trusted agentic workforce.
    This is AgentSecOps.
    Learn More
    Trusted AI
    JFrog AI Catalog Trust Your Agentic Workforce
    Agent Guard
    MCP Registry
    Agent Skills Registry
    Plugins Registry
    APM Registry
    Model Registry
    AI Integrations
    Claude Cursor Codex Hugging Face NVIDIA
    Visual Studio Code Devin Kiro Open Code NanoClaw
    See all integrations
    AI Resources
    The Agentic Development Security Discipline Automated Remediation Managing Agent Primitives Like Software Artifacts AI Catalog Solution Sheet Access JFrog with AI Agents AI Assets Under Control: Enforcing Policies on your Coding Agents
    See More Resources
    Agentic Development
    JFrog Boost

    Save Tokens, Maximize Context for Coding Agents.

    Learn More
    JFrog Agent Plugin

    Connect Coding Agents Natively to Your JFrog Platform.

    Learn More
  • コミュニティ JFrogのコミュニティをチェックし、専門家のリソースを確認し、最新のコミュニティニュースを入手しましょう。
    ドキュメンテーション 最新の製品ドキュメントを参照し、JFrog製品について調べ、JFrog製品の設定方法や使用方法に関する回答を入手
    統合 JFrog製品をServiceNow、GitHub、NVIDIA、Sonarなどの100以上のプロバイダーと統合する方法を確認
    サポート JFrogサポートやFAQでチケットを開いたり、支援を受けたり、回答を検索したりできます。
  • リソース
    学ぶ
    JFrog アカデミーへ JFrog認定 ウェビナーとワークショップ デモセンター ソフトウェアサプライチェーンのトピック
    探索
    リソースセンター JFrogブログ お客様事例 セキュリティ研究 「State of the Union」レポート Gartner MQ: Supply Chain Security イベント
    サポート&サービス
    カスタマーサクセス
    DevOpsコンサルティングサービス サポート 管理とトラブルシューティング
    アカウントと信頼
    JFrogヘルプセンター JFrogマイページ クラウドのステータス JFrog Trust
    パートナー
    JFrogパートナーエコシステム Discover our network of channel, technology, and cloud partners.
    チャネルパートナー検索 お住まいの地域のJFrogチャネルパートナーとつながりましょう。
    MyJFrog for Partners Manage subscriptions, monitor usage, and track customer renewals.
  • 価格
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    • JFrog Platform Service Level Agreement – Previous Versions
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    • JFrog Data Processing Addendum
    • JFrog Cloud Data Security Addendum
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    • JFrog Cookie Policy
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  • JFrog ML Addendum

JFrog ML Addendum

Last Updated: January 17, 2025

Additional terms for the license of JFrog ML

  1. GENERAL
    This Addendum (“Addendum”) is hereby incorporated by reference into and made part of the JFrog Subscription Agreement, and together with Order Form(s), Statement(s) of Work, any other amendments constitute the entire agreement between JFrog and Customer (collectively, the “Agreement”). This Addendum shall apply to Customer’s purchase of JFrog ML, as defined below, pursuant to an Order Form. In the event of a conflict between this Addendum and the Agreement as it pertains to the JFrog ML, the terms of this Addendum shall prevail.
  2. ADDITIONAL DEFINITIONS
    Capitalized terms not otherwise defined in this Addendum, shall have the meaning set forth in the Agreement.

    1. “Customer ML Data” means any data, model prediction data, content, models, materials, software code, binary artifacts, containers, configuration files, and any other software and information uploaded to JFrog ML or otherwise provided to JFrog, including from third-parties. For clarity, Customer ML Data excludes Usage Data and Customer Data.
    2. “JFrog ML” means the proprietary end-to-end MLOps management platform for machine learning models for build, training, production, deployment, management, monitoring and/or data processes, including any additional software, portal, features or add-ons as made available by JFrog as part of the JFrog Platform, as included in Customer’s Order Form.
    3. “Processor” means the entity which processes Customer ML Data on behalf of the controller.
  3. ACCESS AND USE OF JFROG ML
    1. License to JFrog ML
      Subject to the terms and conditions of the Agreement, JFrog hereby grants Customer a non-exclusive, non-transferable, non-sublicensable, revocable, limited right and license during the Subscription Term to: (a) access and use the features of JFrog ML set forth in the applicable Order Form solely for Customer’s internal use, and (b) use the Documentation and JFrog Materials solely for Customer’s internal use in connection with its access and use of JFrog ML, in each case, in accordance with the Agreement, including the Order Form. Customer may not allow, directly or indirectly, to any third party to access or use the JFrog ML.
    2. JFrog ML Restrictions on Use
      In addition to the “Restrictions on Use” set forth in Section 1(c) of the Agreement, the Customer will not, directly or indirectly permit, facilitate, or otherwise allow any other person or entity to upload or transmit to JFrog ML any sensitive personal data or special categories of personal data as defined by applicable data protection laws or, without limiting any of the foregoing, patient, medical or protected health information as regulated by the U.S. Health Insurance Portability and Accountability Act of 1996 and its implementing regulations (HIPAA). JFrog may monitor the use of the JFrog ML to verify compliance with this Section 3.2. JFrog may terminate this Addendum for Customer’s breach of this Section in accordance with Section 3(g) of the Agreement. In addition to other remedies available to JFrog in the Agreement or otherwise, JFrog expressly reserves the right to suspend access to JFrog ML if Customer is in breach of any restrictions under this Section 3.2.
    3. Use Rights to Customer ML Data
      Without derogating from Section 6(a) of the Agreement, Customer hereby grants to JFrog a worldwide, non-exclusive, transferable, sub-licensable, royalty-free, fully paid up, irrevocable right and license to store, display and use Customer ML Data in order to facilitate the provision of JFrog ML.
  4. DATA
    1. Processing Customer ML Data
      JFrog may process Customer ML Data to provide JFrog ML in accordance with the Agreement as a Processor. JFrog will process Usage Data as an independent controller in accordance with JFrog’s Privacy Notice. All references to the JFrog Platform within the JFrog DPA are hereby amended to also reference JFrog ML. Appendix 1 Categories of Data Subjects and Types of Personal Data is hereby amended to add “as Customer elects to provide within JFrog ML.” Appendix 2 is hereby amended to add JFrog ML specific technical and organizational measures.
    2. Customer ML Data
      Customer represents and warrants that Customer owns or otherwise has and will have the necessary rights, licenses, and consents in and relating to Customer ML Data, as used by JFrog in accordance with the Agreement. JFrog takes no responsibility and assumes no liability for any Customer ML Data, and Customer will be solely responsible for its Customer ML Data. Customer is solely responsible for backups of Customer ML Data.
  5. JFROG ML WARRANTY EXCLUSIONS AND DISCLAIMERS

In addition to the warranties exclusions in section 9(e) of the Agreement and the disclaimers set forth in section 9(f) of the Agreement, the following disclaimers shall also apply to JFrog ML:

MODEL PREDUCTION DATA MAY BE BASED ON CUSTOMER OR THIRD PARTY RESOURCES, MODELS, OR DATABASES AND, THEREFORE, JFROG IS NOT RESPONSIBLE FOR ANY SUCH RESOURCES, MODELS, OR DATABASES OR FOR ANY MODEL PREDICTION DATA.

CUSTOMER UNDERSTANDS AND AGREES THAT CUSTOMER’S DOWNLOADING OR OTHERWISE OBTAINING THIRD-PARTY RESOURCES, MODELS, OR DATABASES THROUGH THE USE OF JFROG ML IS AT CUSTOMER’S OWN DISCRETION AND RISK AND THAT CUSTOMER WILL BE SOLELY RESPONSIBLE FOR ANY DAMAGE TO CUSTOMER’S COMPUTER SYSTEM OR LOSS OF DATA THAT RESULTS FROM THE DOWNLOAD OF SUCH THIRD PARTY RESOURCES, MODELS, OR DATABASES. JFROG WILL NOT BE RESPONSIBLE OR LIABLE FOR THE DELETION, CORRECTION, DESTRUCTION, DAMAGE, LOSS, OR FAILURE TO STORE OR MAINTAIN THE CUSTOMER ML DATA OR THIRD PARTY RESOURCES, MODELS, OR DATABASES.

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