Browsing Tag
Enterprise AI Agents
15 posts
Enterprise AI agents, governed autonomous workflows, AI operations, agent security, and business deployment coverage.
Gemini 3.5 Flash Makes Computer Use a Mainstream Agent Tool
Google has moved computer use into Gemini 3.5 Flash, letting developers build agents that can see screens and act across browser, mobile, and desktop environments. The useful question is how teams design the execution loop, safety gates, and sandbox around it.
Meta’s Virtue AI Hires Move Agent Security Into the Model Lab
Meta Superintelligence Labs is hiring Virtue AI co-founders Bo Li, Dawn Song, Sanmi Koyejo and other team members. The move brings automated red teaming, runtime guardrails, and agent-action security closer to Meta’s frontier AI work as labs race to make agents safer before they reach billions of users.
Claude Tag Turns Slack Channels Into Shared AI Workspaces
Anthropic’s Claude Tag puts a shared, permission-scoped Claude inside Slack channels for Claude Enterprise and Team customers. The launch moves workplace AI from private chatbot sessions toward visible, persistent agents that can remember channel context, use approved tools, and work asynchronously.
DeepMind’s AI Control Roadmap Makes Agent Security a Runtime Problem
Google DeepMind’s AI Control Roadmap treats powerful internal AI agents as systems that need monitoring, access limits, response plans, and shutdown paths. The framework is a signal for enterprises moving from chatbots to tool-using agents: alignment claims are no longer enough if the agent can touch code, data, infrastructure, or security workflows.
AWS AgentCore Turns Enterprise AI Agents Into an Operations Stack
AWS used its New York Summit to expand Bedrock AgentCore, launch AWS Context and AWS Continuum, and push AI agents deeper into enterprise operations. The real story is not another chatbot layer, but a managed stack for grounding, governing, testing, and remediating agent behavior.