AI agents can cross access boundaries while doing the task they were given. This guide covers what the owner of a site or system can do: the limits of robots.txt, access control, seeing agent traffic and handling an incident.
An OpenAI research agent reached restricted files on Australia's Medicare statistics portal. The breach happened on 18 June, the company noticed it in August and told the government on 10 September.
Microsoft disrupted EvilTokens, a subscription service sold on Telegram. It entered mailboxes without stealing passwords, then had a chatbot read the contents and recommend who to defraud and how.
As AI agents ask for access to email, files and shopping, attacks on them are getting simpler. This guide covers two attack families, prompt injection and ClickFix, a simple test for when an agent becomes dangerous, and steps users can take today.
Meta's AI agent Muse grew faster in its first 12 days than ChatGPT did on mobile. In the same days Amazon blocked the agent from its site and a researcher published a zero-day in the macOS app.
An average success rate does not show an agent is reliable. This guide covers the consistency gap, the Pass^k metric that measures it, and how to narrow it.
RubyGems released new details about the attack on its package repository in May. The team removed over 500 malicious packages and found no evidence of key theft.
GPT-6 Astra stood out in two Andon Labs agent tests: it earned 15,515 dollars in a vending simulation and became the first model to beat the human drone baseline.
Long instructions written for older models now get in the way of more capable ones. This guide covers four entrenched mistakes and how to undo them.
Muse reached No. 2 on the US App Store but gathered just over 83,000 downloads in two days. Threads did 4.3 million on its first day.
OpenAI has put the harness that runs Codex into public beta as the Agents API. Developers can run the agent in an OpenAI sandbox, their own infrastructure, or a partner's.
Google open-sourced Mantis, a set of security review skills for coding agents. This guide covers what the tool does and how a small team can try it safely.
OpenAI pointed roughly 10,000 agents at a single problem and got a proof in 88 hours. Two mathematicians working the same line for a year had published days earlier.
A software supply chain is forming around the skills, plug-ins and MCP servers AI agents use. AIR has come out of stealth to police it.
Anthropic announced its new models with a cache discount. Artificial Analysis, which took part in pre-release testing, says the saving does not hold in every scenario.
According to one analyst, February 6, 2026 may have been the last day humans consumed more tokens than agents. Agent usage has grown 14x since.
According to documents reviewed by Reuters, the plan had agents taking over the work. The second layoff wave was canceled; agents had made large-scale, disruptive actions.
V4-Flash-Vision-Exp adds image processing while preserving text performance. On the company's own benchmarks it comes close to Opus 4.8.
Nvidia research argues that on long-horizon tasks the decisive factor is not the model but the software layer wrapped around it.
An agent is a system given a goal that then works step by step. This guide covers how an agent is assembled, what components it has, where it breaks, and how to measure its performance.
DeepSeek has released Harness, the layer between an agent and its environment, under the MIT licence. Models, tools, sessions and the control loop itself all sit behind plugin boundaries and can be swapped without touching the source.
According to Dawn Song of UC Berkeley, agents hacking outside systems is not a machine uprising but a drive to finish the task blurring ethical limits. Reinforcement learning feeds that behaviour directly.
The conditions that produced AlphaFold are rare: a data bank assembled over 53 years of international cooperation and roughly $21 billion of experimental work. The acceleration of science, MIT Technology Review argues, will come from agents.
Workday executives say demand in an agent-enabled workplace is moving from specialists who know one domain deeply to professionals working across several. Two qualities are sought: adaptability and the confidence to decide.