October 03, 2025 to November 02, 2025 (30 days) News Period
Total Articles Found: 14
Search Period: October 03, 2025 to November 02, 2025 (30 days)
Last Updated: November 02, 2025 at 10:46 AM
News Review for mulesoft
MuleSoft News Review
Executive Summary
MuleSoft's role within Salesforce's ecosystem has evolved substantially as the company positions the integration platform as critical infrastructure for its "agentic enterprise" strategy, with new capabilities including Agent Script for deterministic AI agent outcomes and Agent Fabric for multi-vendor agent orchestration announced at Dreamforce (Forrester). The integration platform has been incorporated into Salesforce's Data 360 unified data foundation alongside Data Cloud, Tableau, and the pending Informatica acquisition, serving as the "governed bridge" connecting AI agents to legacy systems of record (SiliconAngle). MuleSoft now functions within what Salesforce terms an "intelligent integration fabric" with enhanced security capabilities including mutual Transport Layer Security (mTLS) authentication for Salesforce integrations, while also supporting the beta launch of Hosted Model Context Protocol (MCP) Servers that enable AI agents to access Salesforce data across enterprise departments without custom coding, with General Availability targeted for February 2026 (Salesforce Developer). Market research firms have recognized MuleSoft as a key player in both the AI integration platforms market, projected to grow by $40.90 billion from 2024 to 2029 with a 32.6% CAGR, and the AI-enhanced RPA market expected to expand by $14.28 billion with a 33% CAGR (Globe Newswire).
Key Developments
Product Launches and Enhancements: - Launch of Agent Script capability for bringing deterministic outcomes through rules for AI agents, though analysts noted limitations for complex tasks (Forrester) - Introduction of Agent Fabric leveraging MuleSoft's API management capabilities to provide cataloging, governance, agent orchestration, and runtime visibility across all agents, working with both Salesforce and third-party platforms (Forrester) - Beta release of Salesforce Hosted MCP Servers integrating with MuleSoft to enable AI agents to access Salesforce data across enterprise departments, with General Availability targeted for February 2026 (Salesforce Developer) - Enhanced Salesforce Connector with mutual Transport Layer Security (mTLS) authentication capabilities to address security challenges in dynamic cloud environments (Salesforce Developer)
Strategic Integration: - Integration into Salesforce's Data 360 unified data foundation alongside Data Cloud, Tableau, and Informatica acquisition (SiliconAngle) - Evolution into what Salesforce calls an "intelligent integration fabric" with unified control plane through Anypoint Flexible Gateway (SiliconAngle)
Market Context
MuleSoft's developments occur within a broader enterprise transformation toward AI-driven automation and agentic workflows. The integration platform market is experiencing substantial growth, with AI integration platforms projected to expand by $40.90 billion from 2024 to 2029 at a 32.6% CAGR (Globe Newswire). The shift from traditional task-based automation to orchestrated AI agent collaboration positions integration platforms like MuleSoft as foundational infrastructure rather than point solutions. Enterprise adoption of zero-trust security architecture and cloud-native authentication mechanisms drives demand for enhanced security features like mTLS authentication, particularly as organizations move to dynamic cloud environments where traditional IP allowlisting becomes operationally burdensome.
Notable Quotes
Rahul Auradkar, Executive Vice President and General Manager of Unified Data Services at Salesforce: "We have built Data 360 from the ground up on standards … we are an open and extensible platform. That sort of an ecosystem vibrancy is needed for data fluidity that allows us to provide intelligent context in the moment." (SiliconAngle)
Rahul Auradkar, Executive Vice President and General Manager of Unified Data Services at Salesforce: "We can have data integration and app integration now learn from each other for our customers. You get significant value for our customers across understanding, transparency and also with the governance." (SiliconAngle)
Todd Lohr, Head of Ecosystems and National Operations Leader for Advisory Markets at KPMG U.S.: "You have the announcements they made this year with Informatica. We just did a session earlier today on Informatica and being able to get your data governance right, being able to get your data quality right, so that you can feed that into Salesforce and Agentforce. [Being] able to build those agents is going to be key." (SiliconAngle)
Strategic Implications
MuleSoft's strategic position has shifted from standalone integration platform to essential infrastructure within Salesforce's agentic enterprise architecture. The platform's evolution into an "intelligent integration fabric" positions it as the nervous system connecting AI agents to enterprise data and legacy systems, potentially expanding its total addressable market beyond traditional API management. However, analyst feedback indicates limitations in complex scenario handling, suggesting MuleSoft must enhance its capabilities to fully support Salesforce's agentic enterprise vision. The integration with emerging standards like Model Context Protocol and enhanced security features demonstrates adaptation to AI-driven workflows and zero-trust security requirements. Market recognition in both AI integration platforms and RPA sectors validates MuleSoft's relevance in the evolving automation landscape, though competition from cloud-native alternatives and hyperscaler platforms requires continued innovation to maintain differentiation.
Individual Articles
Article 1: Salesforce Dreams Of The Agentic Enterprise
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Summary
Salesforce announced mixed developments for MuleSoft at Dreamforce, introducing Agent Script for deterministic agent outcomes and Agent Fabric for multivendor agent orchestration, though analysts noted limitations in complex task handling and missed opportunities for iPaaS integration. While Agent Fabric positions MuleSoft as a control tower for governing agent portfolios across vendors, the developments reflect both progress and constraints in MuleSoft's role within Salesforce's broader agentic enterprise strategy, as the company competes against multiple vendor categories in the growing enterprise AI integration market.
Article 2: Inside KPMG’s TACO framework: How agents are reshaping enterprise operations
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Summary
MuleSoft is positioned as a key component in Salesforce's expanding ecosystem for enterprise AI agent deployment, working alongside Slack and Informatica to provide the integration foundation necessary for AI orchestration. KPMG's Todd Lohr highlighted the importance of proper data governance and quality integration to support Salesforce's Agentforce platform, indicating that MuleSoft's role is evolving from standalone integration tool to essential infrastructure for enterprise AI transformation as companies move beyond task-based automation to full value chain orchestration.
Executive Insights
Todd Lohr, head of ecosystems and national operations leader for advisory markets at KPMG U.S.
"You have the announcements they made this year with Informatica. We just did a session earlier today on Informatica and being able to get your data governance right, being able to get your data quality right, so that you can feed that into Salesforce and Agentforce. [Being] able to build those agents is going to be key."
Context: Discussing Salesforce's ecosystem expansion and integration capabilities
Significance: Validates the strategic importance of integration platforms like MuleSoft in the AI agent deployment stack
Article 3: Ruby Shanker Krishnam: Modernizing Finance with AI + Cloud — from General Ledger to Tax
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Summary
MuleSoft receives a brief mention in Ruby Shanker Krishnam's finance modernization framework as one option for API-led integration patterns, positioned alongside cloud-native event streaming solutions for replacing brittle point-to-point connectors in financial systems. While not the primary focus of the article, MuleSoft is referenced as a viable solution for enabling real-time data flow between source systems and general ledger in microservices architectures, indicating its continued relevance in finance transformation projects despite competition from cloud-native alternatives.
Article 4: Salesforce’s next era: The agentic enterprise
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Summary
MuleSoft plays a central role in Salesforce's transition to what the company calls 'service as software,' functioning as the governed integration bridge that connects AI agents in the Agentforce 360 platform to legacy systems of record. The integration platform has evolved into what Salesforce terms an 'intelligent integration fabric' with a unified control plane through Anypoint Flexible Gateway, enabling authenticated and observable APIs across enterprise systems. This positions MuleSoft as critical infrastructure for the emerging agentic enterprise model, where AI agents need governed access to enterprise data and systems to deliver business outcomes rather than just providing software tools.
Article 5: Salesforce outlines data-first approach to building reliable agentic systems
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Summary
Salesforce has integrated MuleSoft into its Data 360 unified data foundation alongside Data Cloud, Tableau, and the pending Informatica acquisition, positioning the integration platform as a key component for AI agent workflows rather than a standalone tool. According to Rahul Auradkar, Salesforce's executive vice president of unified data services, the platform is built on open standards to enable data fluidity and provide intelligent context for AI agents in real-time. The integration allows MuleSoft's data integration capabilities to work with application integration and learn from AI processes, expanding its role from traditional data integration to AI-driven orchestration and governance within Salesforce's Agentforce 360 platform.
Executive Insights
Rahul Auradkar, executive vice president and general manager of unified data services at Salesforce
"We have built Data 360 from the ground up on standards … we are an open and extensible platform. That sort of an ecosystem vibrancy is needed for data fluidity that allows us to provide intelligent context in the moment."
Context: Discussing the architecture principles behind Data 360 platform that includes MuleSoft
Significance: Emphasizes the open, standards-based approach of the platform that MuleSoft is now part of
Rahul Auradkar, executive vice president and general manager of unified data services at Salesforce
"We can have data integration and app integration now learn from each other for our customers. You get significant value for our customers across understanding, transparency and also with the governance."
Context: Explaining how MuleSoft's integration capabilities will work with Informatica's data management
Significance: Indicates MuleSoft's integration functions will be enhanced through AI learning and governance features
Article 6: Dear Salesforce Stock Fans, Mark Your Calendars for October 14
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Summary
MuleSoft received minimal coverage in this Salesforce-focused article, appearing only as a brief mention among Salesforce's expanded cloud services portfolio during discussion of the Dreamforce 2025 conference. The integration platform is positioned as part of Salesforce's broader strategy that includes CRM, AI agents through Agentforce, and various cloud services, though no specific developments, quotes, or detailed information about MuleSoft's role or future plans were provided in the coverage.
Article 7: Salesforce Hosted MCP Servers Are in Beta Today
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Summary
Salesforce launched beta Hosted MCP Servers that integrate with MuleSoft to enable AI agents across enterprise departments to access Salesforce data through natural language without custom coding. The capability, built on Anthropic's open MCP standard, allows organizations to expose Salesforce APIs with enterprise-grade security and targets General Availability in February 2026. This positions MuleSoft within Salesforce's broader AI agent connectivity strategy, extending its integration capabilities beyond traditional APIs into the emerging AI interoperability market where agents can access CRM data for finance, legal, operations, and other departmental workflows.
Article 8: Enhance Integration Security with mTLS for Salesforce and MuleSoft
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Summary
MuleSoft has enhanced its Salesforce Connector with mutual Transport Layer Security (mTLS) authentication capabilities, addressing security challenges in cloud environments where traditional IP allowlisting becomes operationally burdensome due to regularly changing IP addresses in Salesforce's Hyperforce infrastructure. The implementation requires Java keystore files configured through Anypoint Studio and supports OAuth 2.0 JWT bearer flow authentication, positioning MuleSoft as offering cloud-native security solutions that align with zero-trust architecture principles while reducing operational overhead for enterprise customers managing dynamic cloud integrations.
Article 9: AI in RPA (Robotic Process Automation) Market 2025-2029: Key Insights for Customer Service Automation, Finance & Accounting, IT & Infrastructure Management, Human Resources, and Other Applications
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Summary
MuleSoft was identified as one of approximately 25 key players in a market research analysis of the AI in RPA sector, which is projected to grow by USD 14.28 billion between 2024 and 2029 with a 33% CAGR. The report positions MuleSoft within a competitive landscape that includes UiPath, Microsoft, Automation Anywhere, and other automation vendors, operating in a market driven by generative AI adoption, hyperautomation demand, and the emergence of agentic automation. However, the analysis provides no specific details about MuleSoft's products, developments, or competitive differentiators within this space.
Article 10: AI Integration Platforms Market Growth and Competition Analysis 2025-2029: Convergence of IPaaS and MLOps Drive Business in the Industry
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Summary
MuleSoft was identified as a key player in a market research report analyzing the AI integration platforms market, which is projected to grow by USD 40.90 billion from 2024 to 2029 with a 32.6% CAGR. The company appears in the vendor landscape analysis alongside major technology providers including Amazon Web Services, Google, Microsoft, and Salesforce, indicating market recognition within the AI integration platforms ecosystem. While the report highlights market growth drivers such as generative AI adoption, hyperautomation trends, and the convergence of iPaaS with MLOps, no specific details about MuleSoft's products, competitive positioning, or strategic developments are provided in the analysis.
