From multi-agent interactions to supply chain vulnerabilities, AI agents introduce a number of potential security risks. A new resource lays out the risks and steps to prevent them, while leaning on red teaming practices.
Search Results: open source (2027)
Discover how Deutsche Telekom cut costs and boosted service delivery by leveraging AI-driven automation from Juniper Networks and ServiceNow.
Military branch lays out goals, objectives, and requirements for success with AI on the battlefield and throughout the service, with guidelines that deliver powerful lessons for enterprise customers.
Snowflake doubles down on AI and data integration with sweeping new product launches to drive enterprise-wide AI adoption and long-term growth.
Community resource documents security vulnerabilities in the Model Context Protocol (MCP) while detailing ways to lock down the AI agent interoperability specification.
SAP and AWS launch AI Co-Innovation Program to help enterprises build intelligent applications with ERP and generative AI integration.
Google Cloud applies AI to data management, integration of widely used developer environments, and enterprise-grade storage.
Shortly after releasing A2A, Google is accelerating agent development and communications with updated functionality and support from leading software platform providers.
New functionality in Azure AI Foundry, Copilot Studio, and GitHub brings major advances in building and managing AI agents while selecting the optimal model for developer flexibility.
This week’s Build conference featured a new round of AI agent interoperability initiatives from Microsoft, with a particular focus on Model Context Protocol (MCP) and new servers.
Institute for Business Value delivers a detailed outlook on agents’ impact across a wide range of business functions, with the greatest impact forecast in customer service and human resources.
Microsoft partners with AI software provider Gong to deliver the latter’s sales intelligence directly into customers’ software ecosystem for higher sales performance.
At SAP Sapphire, the company is expected to address five critical issues, including AI’s role in applications, data strategy, and hyperscaler trends, which will determine whether it can sustain its lead as the world’s fastest-growing enterprise software vendor.
Workday rejects the agentic AI hype, instead emphasizing practical business outcomes with its expanding AI portfolio aimed at delivering measurable impact across functions.
From AI in org charts to redeploying humans to developing products and services for top-line growth, top executives are evolving their businesses to capitalize on a range of AI-driven opportunities.
Analysis finds a decline in maturity when it comes to using and measuring AI’s impact, but provides clear indication of the traits, and approaches, that establish companies as AI leaders.
Data.world acquisition, partnerships with key enteprise software players, and wide range of new AI agents enhance the company’s objective to be the core enterprise software platform.
Microsoft brings Agent2Agent (A2A) to Azure AI Foundry and Copilot Studio, accelerating the era of agentic AI through open protocol interoperability.
Adam Lieberman details AI focus at financial software provider Finastra: enterprise efficiency, devleoper productivity, and client commercialization. He also outlines the firm’s work with Microsoft.
Bank’s C-suite security leader laments the state of security with SaaS applications including AI and calls on the industry to step up its game.