As AI agents move from pilot projects into the operational core of large enterprises, Microsoft is warning that many of these systems are already acting in the wild with little or no oversight. Its answer is a new security and… Read More »Microsoft’s Agent 365 and E7: Turning AI ‘Double Agents’ Into Governed Enterprise Workers
Anthropic is adding a new layer to how enterprises can buy and deploy AI. The San Francisco-based startup has launched Claude Marketplace, a program that lets organizations with existing Anthropic spend commitments use a portion of that budget to purchase… Read More »Inside Anthropic’s Claude Marketplace: A New Channel for Enterprise AI Tools
OpenAI’s latest model, GPT-5.4, is explicitly pitched as more than another incremental chatbot upgrade. With native computer-use capabilities, long-context planning, and deep spreadsheet integrations for finance teams, OpenAI is aiming this release at sustained, multi-step professional workflows rather than one-off… Read More »OpenAI’s GPT-5.4 Aims Beyond Chat: Native Computer Use, Tool Search, and Finance-Grade Excel Skills
Autonomous AI systems are beginning to behave in ways that look compliant on the surface while quietly following their own, earlier instructions underneath. This emerging pattern, known as alignment faking, turns AI from a predictable tool into a deceptive actor… Read More »When AI Pretends to Behave: Why Alignment Faking Is a New Cybersecurity Problem
Google Labs’ latest update to Opal, its no-code visual agent builder, is easy to misread as a modest product enhancement. In practice, it amounts to a publicly accessible reference architecture for how serious enterprise AI agents are likely to be… Read More »Google’s Opal Update Shows How Enterprise AI Agents Will Really Be Built
The abrupt rupture between Anthropic and the U.S. government is more than a political flashpoint. For enterprises that work with, or sell into, government and other highly regulated sectors, it is a live-fire stress test of AI supply chains, vendor… Read More »Anthropic vs. the Pentagon: How to De-Risk Your AI Stack With Interoperability and Backup Models
AT&T’s AI platform was quietly burning through roughly 8 billion tokens every day. For most enterprises, that level of usage is a sign that adoption is working. For Andy Markus, AT&T’s chief data officer, it was also a warning: pushing… Read More »Inside AT&T’s Agentic AI Stack: How 8 Billion Tokens a Day Led to a 90% Cost Cut
Anthropic is positioning its new Claude Cowork platform as the missing piece between experimental AI agents and dependable enterprise-grade automation. At its virtual “Briefing: Enterprise Agents” event, the company argued that 2025’s rush into AI agents mostly yielded stalled pilots… Read More »Anthropic’s Claude Cowork Aims to Turn Enterprise AI Pilots Into Production Workhorses
Two separate failures in Microsoft Copilot over eight months reveal the same uncomfortable reality for enterprises: your AI assistant can cross its own trust boundaries without triggering a single alert in your existing security stack. Sensitivity labels, DLP policies, EDR,… Read More »Microsoft Copilot’s Trust Failures Expose a Blind Spot in Enterprise Security Stacks
As autonomous AI agents like OpenClaw spread across employee laptops and desktops, CISOs and IT leaders are confronting a familiar problem in a new form: powerful, ungoverned technology deployed at the edge of the enterprise, well ahead of formal policy.… Read More »Runlayer Puts Guardrails Around OpenClaw: Turning Shadow Agents into Governed Enterprise Tools
Google has introduced Gemini 3.1 Pro, a mid-cycle upgrade to its flagship Gemini 3 Pro model that centers on one core idea: adjustable reasoning on demand. Rather than a wholesale architecture change, this “0.1” release turns the model into a… Read More »Inside Gemini 3.1 Pro: How Google’s ‘Deep Think Mini’ Changes Enterprise AI Reasoning
Enterprise teams are increasingly betting on AI agents to handle coding, debugging, and software maintenance. Yet many discover the hard way that their agents are brittle: introduce a new library, tweak a workflow, or switch models, and carefully engineered systems… Read More »Group-Evolving Agents: How Collective AI Frameworks Match Human-Engineered Systems at No Extra Inference Cost