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Time Estimate

Topics

See What’s New with Einstein, Slack, and Platform

Learning Objectives

After completing this unit, you’ll be able to:

  • List the additional languages that Agentforce supports and automatically detects.
  • Describe how to complete work faster with Slack templates.
  • Explain how to build, test, and deploy Agentforce in a safe environment.
  • Describe how to comprehensively scale developer testing.
  • Explain how you can better understand Apex MOC data and specify paths to speed up testing.
  • Describe how to use Einstein AI to generate custom values at scale for libraries.

Einstein

AI-Assisted Agent Generation

Create an agent from scratch with LLM-generated topics, instructions, and existing actions. AI helps you automatically generate topics and suggest actions based on the agent’s intended purpose and scope—so you no longer have to start from zero. The system analyzes the context that you provide, making relevant, intelligent recommendations for the agent’s initial structure.

Testing Center

Testing Center is a comprehensive solution that helps you test AI agents and prompts at scale. It’s designed to be fast, flexible, and easy to use, so you can execute rigorous tests with minimal effort. From automated test case generation to batch testing hundreds of cases at once, Testing Center empowers teams to ensure their agents and prompts work flawlessly under real-world conditions.

Expanded Language Support

Agentforce now supports Spanish, French, Italian, German, Japanese, and Portuguese, and it automatically detects user locale to respond accordingly.

Field Based Masking

Protect your sensitive information from exposure to external large language models (LLMs) with the Einstein Trust Layer. It uses pattern-based and field-based masking to identify and replace sensitive data in prompts with placeholder text.

Slack

Slack Templates

Work faster with Slack templates. Use preconfigured and customizable channels, canvases, lists, and workflows to give your team a head start on every new project.

Selecting a featured template called ’Manage help requests’ in Slack

Platform

Agentforce in Sandbox Environments

With Salesforce sandboxes, developers can build, test, and deploy Agentforce in a secure development environment. Use Data Mask to mask Salesforce data in sandboxes to keep your sensitive CRM data secure during the development process.

Sandboxes Enhancements

Code Builder is now accessible from Salesforce sandboxes, speeding up development. Storage is also now upgradable, giving devs more testing data and control. Finally, Quick Create is now generally available for organizations over 100 GB.

Scale Test for Agentforce

Scale Test now offers Load Generation and the Test Run Dashboard to give you a complete solution for comprehensive scale testing. Easily generate JMeter-based load tests directly within your Salesforce sandbox using Load Generation. Then use the Test Run Dashboard to get real-time visibility into your tests’ performance, including immediate alerts for threshold breaches or throttling. Analyze key metrics and get actionable insights to optimize your org’s performance for peak loads and other high-scale scenarios.

Agentforce for Developers: Dev Assistant Enhancements

Now get RAG support in Dev Assistant for generating Lightning web components for web and mobile. A new integration also gives you a better understanding of Apex MOC data and allows you to specify paths to test.

Agentforce for Developers: Code Scanning and Completion Enhancements

Agentforce helps fix and explain code spotted by Code Analyzer. At the same time, inline autocomplete smart suggestions enable you to see multi-line inline suggestions within the context of your metadata schema and relevant classes from the SFDX project.

Policy Center

The new Salesforce Policy Center tool offers you a single view for managing security, privacy, and access control policies. This consolidated view helps reduce complexity, improve compliance, and provides real-time visibility into potential gaps and vulnerabilities.

Data Mask Enhancements

Use Einstein AI to generate custom values at scale for libraries while adding greater variety in test data. This enhancement also allows you to mask data automatically post-sandbox refresh, before a user logs in.

Shield Enhancements

New from Event Monitoring, the Event Log Objects feature stores event log data as standard Salesforce objects. Event Log Objects reduces latency and makes it easier to visualize, query, and analyze event data via Agentforce, SOQL, or CRMA.

Salesforce Archive Enhancements

Salesforce Archive now supports files and attachments within archive policies, in both sandboxes and production. Users can also define the length of time for retaining archived objects at the archive policy level. Finally, test archive policies before they run to see the impact on your org before deploying them to prevent accidental archives.

Privacy Center Enhancements

Data Cloud: Data can now be deleted from Data Cloud through Privacy Center’s policies. Privacy Center also now supports DSAR and right to be forgotten (RTBF) in Data Cloud, and supports consent templates and forms for Data Cloud via Preference Manager.

Privacy Policy: Special processing is now included for the User object to allow masking and forgetting of user accounts. This release also improves data filtering and picklist support.

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