As enterprises move from AI experimentation to production deployments, one challenge is becoming increasingly apparent: AI systems are only as reliable as the business context they operate in.
Snowflake is attempting to address that problem with Horizon Context, a new set of semantic and metadata-management capabilities, currently in preview, that it unveiled Tuesday at its annual Snowflake Summit conference.
Artin Avanes, head of core data platform at Snowflake, said that the offering, launched as part of Horizon Catalog, the company’s existing data discovery, management and governance suite, collects metadata from across an enterprise’s data estate, enriches it with business definitions, relationships, lineage, and governance information, and makes that context available across AI and analytics systems.
These capabilities, according to Avanes, build on Snowflake’s acquisition last year of Select Star, a metadata management startup known for its integrations with database systems such
Microsoft just announced "Project Solara," a new OS designed for gadgets that run AI agents, at Build 2026. The company is calling it "a new platform built from the ground up to power agent-driven experiences." It's built on Android, not Windows.
Microsoft demonstrated two concept Project Solara devices at Build today: Desk concept and badge concept. The desk concept is an Amazon Echo Show-like device that unlocks with facial recognition and provides access to AI agents.
The badge concept is a wearable, the type of badge you'd typically use to access a work building. It has a camera and a fingerprint scanner, which can wake an AI agent wi …
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Crossmint launched a Visa powered API that lets developers enable AI agents to make card payments with tokenized credentials.
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DeFi APIs sit underneath every wallet, dashboard, and trading bot in on-chain finance. They feed the prices users see and the positions wallets track. They also drive the routing logic behind swap aggregators. AI agents executing trades in 2026 rely on the same data layer.
Our 2026 State of AI for Business Report surveyed more than 2,100 business professionals — 86% of whom are B2B marketers — and asked what AI training they want most.
Workday is aiming to help customers to develop and deploy agentic systems without compromising corporate security or compliance, unveiling a series of AI tools at its DevCon event this week.
Chief among them is Agent Passport, which validates an agent’s safety and compliance both before it is deployed, and continuously during its operation. When an agent attempts a task, Agent Passport can allow, block, or route the action appropriately, and problem agents can be stopped or restricted, based on company policy.
Agents will be vetted for a series of risks, including prompt injection, jailbreak and goal hijacking, system prompt extraction, leaks of employee data, and unsafe outputs. Those tests will be tied to public standards such as Mitre ATLAS, and will be performed by security partners, not by Workday. Security teams can view those attestations, receiving a signed, auditable record of who tested the agent, and what it was tested for.
Because every check is tied to a public standard, s
The integration of real-time compliance screening in AI transactions enhances security, fostering broader enterprise adoption of autonomous commerce.
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Most enterprises already have access to AI models, so that is no longer the differentiator. The real challenge begins after the demo ends. Organizations are now trying to determine how AI agents interact with ERP systems, supply chains, approvals, security policies, customer records, and operational environments that were never designed for autonomous systems. The reality is that ERP remains the system of record for many business decisions. If AI agents cannot operate within ERP governance, approval, and transaction frameworks, they remain assistants rather than operational participants.
What makes this interesting is that Snowflake is not positioning itself as another AI platform vendor. The company is positioning itself to be the governance and orchestration layer that enterprises will build agentic AI around. Horizon Context, Semantic Studio, Cortex Sense, Coco, Cowork, Apache Iceberg interoperability, Model Context Protocol (MCP) connectivity, and the company’s broader AI security
