AI is reshaping how businesses connect with customers. Join Salesforce & Alibaba Cloud at the Annual Summit Shanghai to explore how enterprises are moving from AI pilots to real business transformation. Highlights: • AI + CRM trends and innovations • Building an Agentic Enterprise at scale • AI in Sales & Service • Industry Cloud innovations • China-to-Global strategies • Customer stories & live demos 📍 Shanghai 📅 15 July 2026 | 2:00–5:30 PM 💬 Sessions in Chinese Register now: #Salesforce# #AlibabaCloud# #CRM# #AI# #AgenticEnterprise# #EnterpriseAI# #DigitalTransformation# #ChinaAI#

Welcome to Agentic Enterprise City! 🌉 Step inside, explore the future of AI, and enter for a chance to win a $1,000 gift card. To enter the Agentic Enterprise City Sweepstakes, leave a reply on this reel that: 1. Tags your favorite participating Agentic Enterprise City customer (options below) 2. Briefly describes their agentic solution (either in-person at @Dreamforce or at 3. Tags @Salesforce 4. Includes #DF26# and #SFsweepstakes# Dare to double your chances? Leave a second reply tagging 3 friends Choose your customer: @ASU @ATT @CanadaGoose @Crocs @CVSHealth @F1 @LiveNation @LorealGroupe @MarriottBonvoy @SouthwestAir The Prize: One winner from this reel will score a $1,000 gift card from a participating AEC customer of their choice (subject to country availability) We're also running this on the @Salesforce Instagram—you can enter both, but limit one prize per person Note: Salesforce employees are excluded from winning. Read the official rules at

.@Google just introduced their "Agentic Enterprise" strategy; a fleet of autonomous agents with persistent memory, executing multi-step workflows independently for days at a time. @ThomasOrTK called it a shift from "system of intelligence" to "system of action." The pitch is that the AI action era has arrived. The agents can plan, reason, and execute. The problem is that nothing in the stack produces a verifiable record of what the agent actually did or whether it did what it was authorized to do. Here's the architectural reason this is hard: in LLM-based systems, the data layer and the control layer are the same thing. Malicious instructions embedded in a document, an email, or an API response can redirect an agent mid-workflow. This is the dominant attack class for deployed agents right now. And it gets worse as models get more capable. An ICLR 2026 paper published this week found that training models to reason harder actually increases tool hallucination rates. More capable models, less predictable execution. The industry response has been to stack security on top: runtime monitoring, policy enforcement at the agent boundary, trust registries. @SecureAuth launched one. @Microsoft shipped an open-source agent governance toolkit this month. These are real tools solving real problems, but they're working against the grain of the underlying architecture. You're inspecting outputs from a system that was never designed to produce verifiable outputs. Trust layered on an untrusted foundation. The harder question is whether you can reach production-scale agent autonomy without re-architecting what runs underneath. At Talus, the answer we landed on is that you can't. Verification has to be the default output of the execution layer, not a governance feature bolted on after. Every step produces a tamper-evident proof. Every action is cryptographically attributable. The audit trail is generated at execution time, not reconstructed after an incident. That's a different architecture than agents wrapped in monitoring tooling. Google's announcement is real. The adoption numbers are real. So is the trust gap. What fills it isn't better, but different infrastructure underneath them.

Optimism in the Age of Agentic AI Every generation gets a great leap. This one is ours. Not because technology can do more. Because people can. Welcome to the Agentic Enterprise. Around the world, our customers are unlocking the potential of every employee. Human being. Agent doing. People bring creativity, judgment, relationships, and vision. Agents handle processing, integration, and execution, clearing the way for people to do the work only humans can do. The work that builds trust. The work that creates meaning. The work that brings you closer to every customer. That is the optimism of this moment. Profoundly human. Operationally agentic. Ironically, the more agentic your company, the more human it can become.

🔴 LIVE: The Enterprise AI Harness for the Agentic Enterprise Keynote at @Dreamforce President & Chief Platform and Engineering Officer, @RohanKData shows who how trusted context, action, governance, security, and AI control come together across your business

Mahalo @DeptVetAffairs for choosing Salesforce for your landmark $1.6 billion Agentic Enterprise vision. I’m always grateful to those who serve — and we will always do our absolute best for them. This is a historic moment. We’re bringing the full power of Salesforce and Agentforce to 17 million Veterans and 467,000 VA employees, delivering the best technology in the world to those who deserve it most. Building the future of care for those who served our nation. ❤️🇺🇸

Snowflake Ventures is proud to invest in @jedifyai 🌐 Jedify brings autonomous semantic lifecycle technology to the agentic enterprise, helping enterprise AI agents deliver trustworthy answers by automating model governance on Snowflake. 👉🏻

.@PwC is honored to receive the Salesforce Partner of the Year Award for Headless 360! This recognition reflects the work our teams are doing to help shape the agentic enterprise, and helping organizations move from experimentation to value at scale. #sponsor# #DF26#