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Salesforce Japan Co., Ltd. announced on the 6th “Data Cloud Governance” and “Trusted Services” to support the trust, security, and governance essential for enterprise AI agents. Salesforce explained that to deploy a reliable AI agent, a strong model alone is not enough, but a comprehensive approach based on a secure and well-managed data foundation, safe development practices, and continuous monitoring throughout the AI lifecycle is required. Salesforce’s single architecture integrated platform provides the comprehensive capabilities needed to tackle this challenge head-on. Salesforce’s Backup solution provides automatic backup and accurate restore capabilities to protect 100% of important customer data and metadata stored on Salesforce. Combined with Salesforce Archive, it can meet retention policies while maintaining performance. Realistic data is required to safely develop and test AI agents, but exposing sensitive production data creates risks. Data Mask solutions protect sandbox data at scale, enabling a safe and efficient test environment.
Salesforce Shield enhances visibility into user activity and proactive threat detection capabilities, which are essential for monitoring how AI agents and users interact with data. Security Center simplifies the management of security levels across IT environments with faster data classification and risk assessment. He also explained that beyond core CRM, effective AI agents often need to leverage data across the enterprise, which is why Salesforce Data Cloud is important. Data Cloud brings together all structured and unstructured data to provide a unified, trusted view of the customer that can be leveraged by all front-office applications. Data Cloud Governance enables governance at scale over data and metadata, ensuring consistent policy management and access across Data Cloud. AI-recommended tags allow administrators to automatically label and classify records. For example, data can be marked as “GDPR,” “PII,” or “HIPAA” to ensure data is consistently managed and protected. These tags follow business or compliance frameworks tailored to the needs of any organization. Consistent, granular policies (field, object, record level) can be easily created, managed, and enforced for all data. These policies are automatically applied everywhere in Data Cloud, ensuring data security and consistency across all features, including Agentforce, Analytics, and segmentation. It separates data, metadata and processes by brand, business unit and geography, allowing each business unit to manage its own data while using only one instance of Data Cloud. It also helps create masking policies to maintain the security of sensitive information by automatically hiding or showing data depending on who is accessing it.
In addition, AI agents, including those built with Agentforce, often interact with other systems and data sources through APIs, and ensuring the security of these connections is paramount to prevent vulnerabilities, he explained. With MuleSoft API management solutions, organizations can protect, manage and govern all APIs and enforce security policies and best practices. Importantly for AI agents, MuleSoft Flex Gateway supports protocols such as Agent2Agent (A2A) and Model Context Protocol (MCP) for secure and governed interactions between AI agents and external systems. Confidence in Agentforce deployments is earned through rigorous testing and inherent controls. Salesforce’s highly integrated platform provides the ability to build trust into the Agentforce lifecycle. A secure sandbox environment and Agentforce test center allow for safe development and rigorous testing with realistic data in an isolated environment. Enhancements such as synthetic data generation and state injection speed up this critical stage.
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Agentforce 自体には変数やフィルタなどの機能があり、プロンプトビルダにより、エージェントはコンテキストに基づいて、どのように推論し、どのようなアクションを取ることができるかを制御できます。インストラクション・コンプライアンス・チェックは、意図したインストラクションに対するエージェントの行動を監視し、逸脱があればアラートを発行するため、トラブルシューティングが容易になります。トラストレイヤーは、Salesforce Platformに組み込まれた中核となるイノベーションです。このセキュアなレイヤーは、ユーザーインターフェース/エージェントと大規模言語モデル（LLM）の間に位置します。LLMによる処理のためにSalesforceのバウンダリーを離れる前に、機密データを自動的に削除またはマスキングし、LLMプロバイダーによる機密データの保存を防止し、潜在的に有害または偏った言語を識別してフラグを立てるなどの機能により、AIの信頼性の高い安全な利用が可能になります。 セールスフォース は、AIの試験運用から企業全体への展開に移行するには、信頼できるプラットフォームが必要であると説明しています。統一されたデータアクセス、強力な開発者ツール、強固なビルトインセキュリティとガバナンスを提供することで、Agentforce で構築されたものを含め、インテリジェントな AI エージェントとアプリケーションを自信を持って安全かつ責任を持って導入し、真のビジネス価値を創造し、顧客体験を向上させ、業務効率を高めることができます。
ソース ヤフー
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