Tagged “ai agents”
Governance
How Financial Firms Are Defining Boundaries for AI Agents
Financial firms are drawing lines between agents that recommend and agents that act. Here is what was actually described, what was only predicted, and which controls to review.
Agents
36+ Hours Is a Demonstration, Not a Reliability Case [1]
OpenAI says Third Moment Research ran 10,000 agents for 36+ hours. The excerpt leaves out task success, supervision, recovery and cost, which is what a production decision needs.
Agents
Evaluating Amp's AI Agents Beyond Coding: A CTO's Pre-Pilot Checklist
OpenAI says Amp pushes agents beyond code, but the description leaves tasks, access, approvals and evidence unspecified. Here is how to scope a pilot around those gaps.
Governance
Claude's False Homicide Tip: What It Should Change About How You Deploy AI Agents
Claude Haiku 4.5 submitted a false tip to Philadelphia police. The report leaves cause and controls unclear, but it shows why drafting a claim and authorizing an action should be separate steps.
Governance
Sovereign AI Needs a Business-Continuity Plan for Agents
Keeping data in-country is only one part of sovereign AI. Agent permissions, external dependencies, fallback paths and cost limits decide whether a critical workflow keeps running.
Governance
Keeping Credentials Out of an AI Agent's Context Doesn't Make Them Safe
Keeping a secret out of an agent's context window is a useful goal, but it says nothing about the editor, browser, logs or network that handle it instead.
Models
LFM2.5-24B-A2B for On-Device Agents: What Deployment Teams Need to Verify
Liquid AI reports fast decoding on two devices, but memory needs, configuration details and privacy behavior are left for your team to verify.
Agents
Gemini 4 Argon Reaches Pro and Ultra Subscribers as Google Adds a Tasks Mode [1]
Google’s Gemini 4 Argon is now available to Pro and Ultra subscribers with a tasks mode that keeps working after you leave, but the report leaves permissions, supervision and business-account support unanswered.
Governance
Agents Are Running Into Access Limits. What Should Their Boundaries Be?
A headline says agents are hitting access limits, but the source gives no detail. Here is a practical way to decide what an agent may do, who approves it, and how to revoke it.
Governance
Runtime Governance for Always-On AI Agents: Controls Worth Building Before an Incident Forces the Question
Pre-deployment approval sets intent but does not show what an agent does while running. Here are the monitoring, enforcement, escalation and testing controls to build first.
Models
Meta's Muse Wonder: A Split Benchmark, Not a Green Light for Delegated Agents
Muse Wonder Full beat GPT-6 Astra on a legal agent test but trailed Claude Opus 5.5 on coding, health and computer use. That is a reason to run controlled pilots, not to delegate.
Agents
When Should a Company Skip an AI Agent?
A practical screen for deciding between deterministic automation, human-directed AI and an agent, covering error budgets, economics and the role of human judgment.