- Salesforce Spring ’25 introduces AI-driven upgrades to Agentforce, enhancing automation, security, and customer interactions.
- New features include AI-Assisted Agent Generation, RAG for Sales, and improved data security with Field-Based Masking.
- Salesforce also adds Event Log Objects for better security monitoring and Agentforce for Field Service to streamline appointment scheduling.
Salesforce has launched its Spring ’25 updates, bringing new features to its digital labor platform, Agentforce. The update includes AI-driven capabilities, pre-built integrations, and enhanced data security tools. These features are now live and aim to help businesses scale customer interactions, improve efficiency, and drive growth. Let’s take a closer look at what Salesforce’s Spring ’25 release has introduced.
Our Spring '25 #SalesforceRelease is GA. Here's what's new in Agentforce:
— Salesforce (@salesforce) February 17, 2025
🆕 Pre-Built Skills Library
🆕 Enhanced Reasoning Engine
🆕 AI-Assisted Agent Generation
🆕 Agentforce Testing Center
Plus hundreds of features to scale your digital workforce: https://t.co/j8sAADd9Tr
Key Updates in Spring ’25
Agentforce Enhancements
The latest release introduces AI-Assisted Agent Generation, which leverages large language models (LLMs) to suggest topics, instructions, and actions when creating agents. Additionally, the new Agentforce Testing Center allows businesses to test agents at scale using AI-generated scenarios. Salesforce has also expanded language support for Prompt Builder, enabling broader global adoption.
Moreover, the tech giant has strengthened its data security with field-based masking in the Einstein Trust Layer. This feature identifies and masks sensitive data within Salesforce fields to enhance privacy protection.
Service Cloud Updates
Salesforce has added new Agentforce Service skills, including Service Assistant, which creates personalized, multi-step action plans for customer service representatives. Additionally, the new Agentforce for Field Service helps customers schedule appointments without requiring a human agent.
Sales Cloud: AI-Powered Lead Nurturing
Salesforce is integrating retrieval-augmented generation (RAG) into Agentforce for Sales. This feature enables AI agents to pull structured and unstructured data—such as company documents and knowledge articles—to craft personalized responses. The goal is to improve engagement and accelerate deal closures.
Data Cloud: Improved Security and Search
New Data Cloud capabilities include Private Connect for secure bidirectional data access, Zero Copy File Federation for handling large datasets, and Hybrid Search for better results from unstructured data. These enhancements improve trust and accuracy in Agentforce interactions.
Platform: Event Log Objects for Security Monitoring
Salesforce has introduced Event Log Objects in Event Monitoring, allowing businesses to store and analyze log data as standard Salesforce objects. This feature enables companies to track risky user activity and take immediate action, such as creating security cases or revoking permissions.
What Does the Spring ’25 Release Mean for Businesses?
The Spring ’25 release surely indicates that the company is going all in with its Agentforce and AI features. The latest updates indeed aim to embed AI-driven automation further into enterprise workflows. The improvements in Agentforce, Service Cloud, Sales Cloud, and Data Cloud are designed to enhance productivity, security, and customer engagement at scale.
However, that’s not all. Salesforce recently launched the AI Energy Score, a benchmarking tool designed to measure and compare the energy consumption of AI models. It is the first of its kind and was developed in collaboration with Hugging Face, Cohere, and Carnegie Mellon University.
