Microsoft offers devs a better way to control AI agent behavior
The specification lets developer, compliance and security teams define their own policies for agents to follow in portable policy files.
InfoWorld AI·
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
Read full articleThe specification lets developer, compliance and security teams define their own policies for agents to follow in portable policy files.
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 … Read the full story at The Verge.
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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