3/26/2026 · 6 min read
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AI agents, while boosting productivity, are introducing significant financial risks for Salesforce customers due to poor governance, shadow AI, inadequate user treatment, and prompt injection vulnerabilities. A recent whitepaper reveals many enterprises are already losing millions from these failures.
This article presents a comprehensive guide for Salesforce architects to implement a "risk-first" blueprint for AI governance in regulated industries, introducing the Trust Boundary Control (TBC) framework. It details how to enforce deterministic, auditable AI behavior directly within Salesforce using Shield, Data 360, and Flow to achieve defensible AI decisions.
Salesforce announced the integration of NVIDIA Nemotron 3 Nano into Agentforce, empowering AI agents with advanced capabilities for regulated and on-premises environments. This partnership enhances Agentforce with a one-million token context window and efficient processing for complex enterprise workflows.
Salesforce and NVIDIA are partnering to bring high-performance, cost-efficient AI agents directly into enterprise workflows. This collaboration aims to overcome the current isolation of AI agents, enabling them to securely integrate with governed data and execute actions within regulated business operations.