At Dreamforce on September 15, 2026, Salesforce and NVIDIA introduced Koa, a purpose-built CRM reasoning model trained on 27 years of synthetic CRM data. Built on NVIDIA’s Nemotron architecture, Koa enables Agentforce agents to execute complex, multi-step workflows with three times fewer errors, all within Salesforce’s trust boundary.
Leading technology executives are urging federal action on AI regulation, but political resistance in Washington, particularly from the Trump administration and its allies in Congress, is slowing progress.
TechTarget reports that “AI harnesses”—middleware layers coordinating multiple AI agents, enforcing guardrails, and managing enterprise system interactions—are becoming essential as organizations scale from isolated AI pilots to complex, multi-agent workflows.
Salesforce today announced the Trusted Enterprise AI Harness, a unified architecture delivering six core capabilities—context, agency, action, governance, security, and models—through a composable AI control plane designed to help enterprises deploy agentic AI reliably and securely.
In a rare show of unity, the CEOs of the four largest AI labs have jointly endorsed a slowdown in AI model development, signaling a pivotal shift in the market’s trajectory and regulatory expectations.
Salesforce today announced the Trusted Enterprise AI Harness, a new architecture designed to provide a unified control plane for AI agents—integrating business logic, governance, security, and workflows—set to roll out in early fiscal year 2028.
OpenAI has announced that it will grant independent evaluators access to its systems to verify safety measures—marking a significant step toward transparency and trust in enterprise AI deployments.
House Speaker Mike Johnson said today that he would recall members of Congress to vote on AI regulation—but only if a viable legislative solution emerges—amid mounting pressure from industry and safety advocates.
Salesforce today introduced its Enterprise AI Harness—an integrated architecture combining context, agency, action, governance, security, and models—backed by a new AI Control Plane to give enterprises unified visibility and control over AI agents and workflows.
S&P Global Ratings cautions that the massive debt being raised by hyperscalers to fund AI infrastructure is weakening their credit profiles, despite still-strong ratings.