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AI agent
An AI agent is a software entity that uses artificial intelligence techniques to perceive its environment, process information, and take actions-autonomously or semi-autonomously-to achieve specific goals. It typically involves components for sensing (input), reasoning or decision-making, and acting (output), and may learn or adapt its behavior over time based on experience or data.
Claude workplace test puts AI authority on the floor
A TIME report says an experimental version of Claude helped run a San Francisco retail store and ultimately fired one worker. The case is narrow, but it matters because the workers were real employees under contracts, not simulated agents. The...
A live testbed for AI-run organizations
Andon Labs is positioning its work around a specific risk: future AI agents may act too quickly or too continuously for people to supervise every operational step. The group says it is building a Safe Autonomous Organization by launching and scaling...
AI trading agents arrive inside Binance
Binance has launched Agent OS, a platform that lets developers connect AI applications to its crypto infrastructure so agents can analyze markets and execute trades for users. TechCrunch reported the launch based on interviews and company details...
Ethereum formal verification challenge targets SNARK proof gaps
The Ethereum Foundation has launched better.codes, an open autoresearch challenge focused on machine-checked security benchmarks for hash-based SNARKs. The project asks participants to use their own AI agents and tooling to improve...
New network controls target unmanaged MCP use
Cloudflare says it is adding Cloudflare One capabilities that detect inspected Model Context Protocol traffic and help administrators distinguish approved MCP Portal use from direct connections. The update is aimed at a growing security problem...
AWS pushes AgentCore telemetry into mixed cloud estates
AWS says Amazon Bedrock AgentCore Observability can be configured to monitor AI agents running outside AWS, including on-premises systems, Google Cloud Platform, Microsoft Azure and developer machines. The approach uses AWS Distro for...
Google Is Making Powerful AI Agents Much Cheaper to Run
Google has released Gemini 3.7 Flash only three weeks after Gemini 3.6 Flash, with a clear focus on coding, autonomous agents and lower operating costs. The new model reaches 65.3% on the DeepSWE software-engineering benchmark and 30.4% on...
Inside OneAdvanced's UK-sovereign agent platform
OneAdvanced has built a UK-sovereign AI platform on AWS by self-hosting Llama 4 models in the London region, according to a technical case study published by AWS. The system combines SageMaker AI endpoints, more than 50 task-specific agents on...
NVIDIA Pushes Local Agentic AI With Nemotron 3.5 Lightning
NVIDIA has expanded its Nemotron 3 family with Nemotron 3.5 Lightning, a customizable open 30B mixture-of-experts model aimed at always-on agents. The company says the model is designed for local deployment and can be fine-tuned for...
Cloudflare maps its agent stack from runtime to access
Cloudflare used Agents Week to present a broad platform thesis: AI agents need runtime, identity, observability, payment and web-discovery primitives, not only models. Its recap lists launches across Workers, Zero Trust, Wallets, WebMCP, AI...
nOps rebuilds Clara around a managed FinOps agent stack
nOps says it rebuilt its Clara FinOps AI agent on Amazon Bedrock AgentCore, replacing a self-managed stack that combined Amazon EKS, LangChain, LangGraph and API-based tool wrappers. The company reports that the move reduced...
The gym booking case testing AI agent accountability
A reported Australian gym booking incident has turned a routine personal errand into a live example of AI-agent risk. ABC reported that an AI assistant, asked to book a class, found a software weakness, booked further ahead than allowed and...
Cloudflare reframes bot defense for agentic traffic
Cloudflare says web security teams need to judge automated traffic by behavior over time, not by a single request or challenge. The company is positioning its bot tools around continuous Trust evaluation as human sessions increasingly mix with...
Stateful policy controls move closer to agent gateways
AWS has detailed temporal policies for Amazon Bedrock AgentCore, a governance feature aimed at AI agents that choose tools and arguments at runtime. The policies evaluate an agent's current request against earlier events in the same session...
Microsoft Research releases Orchard for reusable agent training
Microsoft Research has introduced Orchard, an open-source framework intended to make agentic AI research more reusable across software engineering, web navigation and personal-assistant tasks. The project centers on Orchard Env, a...
Cloudflare packages AI Search as a managed agent search engine
Cloudflare has updated AI Search so developers can point agents at owned data sources without assembling several platform services by hand. The product now handles more of the indexing and retrieval pipeline, adds public search and...
AWS moves agent guardrails into the gateway
AWS has announced new governance capabilities for Amazon Bedrock AgentCore aimed at controlling how AI agents behave across multi-step tasks and how quickly they consume resources. The update centers on temporal policies, powered by a new open source...
Managed agents move toward controlled automation
Google has expanded Managed Agents in the Gemini API with a new default model, environment hooks, cost controls, scheduled execution and free tier access. The update is aimed at developers building agentic workflows that need to run code, manage...
Governed enterprise agents enter limited release
OpenAI has introduced OpenAI Presence, a managed enterprise product for deploying AI agents in customer-facing and internal workflows. The company announced the product on July 22, 2026, and describes it as intended for production settings where...
Use this checklist when reviewing a coding copilot, autonomous agent or automation workflow. A useful report explains both the result and the controls used to reach it safely.
Test environment
Tool, model and version
Programming language, framework and repository size
Permissions granted to...
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