Model Context Protocol (MCP) stories
Businesses testing AI in infrastructure management may gain tighter control over network data, compliance checks and change planning through the new server.
Banks that fail to modernise core systems may struggle to scale AI, cloud services and new payment rails, Temenos and Bain warn.
Enterprises using autonomous AI agents could get tighter controls as the tie-up adds governance and live monitoring to Google Cloud deployments.
The new tools could let firms’ AI agents act on live data more securely across clouds, while cutting rebooking from hours to minutes.
Businesses deploying multi-agent AI can now monitor costs, traffic and audit trails in one place as Kong broadens its governance tools.
AI agents are set to erode ad-funded web traffic, forcing businesses to pivot from screen-based funnels to metered API revenue.
Businesses facing faster AI-driven cyberattacks will get new Google Cloud tools to spot threats, block fraud and secure agents across workloads.
Businesses gain a single control plane for AI agents as Google Cloud folds developer tools, employee apps and partner software into Gemini Enterprise.
The launch aims to let firms and software agents use Salesforce data and workflows inside coding tools and collaboration apps, cutting build times by up to 40%.
Marketing teams can now link Adobe tools with outside AI services under a governed system aimed at auditable customer experience workflows.
New guidance aims to help firms curb data leakage and rogue actions as AI agents and models are embedded in daily operations.
The updates aim to help companies turn internal data into AI-driven workflows while keeping business controls and governance in place.
Analysts can now triage threats and trace outages from inside AI tools, as Elastic’s public preview cuts dashboard switching.
Boards are being pressed to abandon periodic patching as AI models can now uncover and chain software flaws faster than human teams can respond.
More than 9,100 customers already use Snowflake's AI products weekly, as new tools aim to move corporate pilots into everyday workflows.
Marketers could gain a single orchestration layer as Adobe links fragmented data, content and analytics systems with agentic AI tools.
Brands could gain a single governed layer for AI customer work, as Adobe links agents with partner tools across the full lifecycle.
Businesses can now run campaign analysis, customer support and checkout tasks across over 30 AI platforms through Adobe's expanded network.
Enterprises face a new security gap as AI agents spread without oversight, with one preview model finding attack paths in hours rather than days.
Native checks will now flag prompt injection and data leakage across more of the AI agent stack as enterprises push systems into production.