InfoWorld

GitHub continues to be a scintillating target for attackers because it sits in the middle of the software supply chain and gives threat actors three things they crave: source code, secrets, and automated pipelines to run amok in. Datadog Security Research has been tracking what it calls a “sustained pattern” of GitHub API abuse over the past several months that seeks to map organizations and thei…

As enterprises struggle to manage their AI strategies, the US AI regulatory environment is sending a wide range of contradictory signals. OpenAI’s Wednesday announcement that it will now release GPT-5.6 Sol, along with Terra and Luna, on Thursday highlights the confusion. Initially, the US government said that it was asking OpenAI to limit access to its top models , including the three releasing …

Anthropic is bringing its Claude Cowork AI agent to web and mobile platforms, a move aimed at helping enterprise users monitor and manage long-running AI-driven tasks from anywhere as organizations increasingly adopt agents for operational and knowledge work. The rollout, according to the company, is based on an analysis of 1.2 million anonymized and aggregated Claude Cowork sessions conducted be…

A prompt injection attack can trick GitHub’s preview Agentic Workflows into retrieving content from private repositories and publishing it publicly, exposing a broader risk as enterprises deploy AI agents with privileged access to software development environments, according to new research from Noma Security. The AI security company detailed the attack, dubbed GitLost, in a blog post , saying an…

AI agents , and the large language models (LLMs) that power them, have short memories. That’s by design. There is only so much conversation that can be encoded into tokens and accessed reliably by the LLM. Retrieval-augmented generation , or RAG, can be used to give agents and LLMs memories larger than their context windows. But how agents use RAG, or other mechanisms for retaining the details of…

For the last 40 years or so, software development tooling has centered around the IDE — the integrated development environment. Borland is widely credited with bringing the IDE to the masses. The joining of the editor, compiler, and debugger into a single entity revolutionized the software development industry. The popularization of the IDE through the likes of my beloved Turbo Pascal in the mid-…

Some autonomous AI agents fell victim to frauds, reinforcing how easily some high-end enterprise agents can be conned by schemes that would fool few, if any, humans, Zscaler found in a test of major LLMs. The security vendor looked at various forms of indirect prompt injection (IPI) traps and found that, whereas many models fell victim to the schemes, some of the lower-level LLMs fared better tha…

Microsoft has fitted the June 2026 update to Visual Studio IDE with a GitHub Copilot usage window that gives a clearer view of where a user stands against the GitHub’s new usage-based model. The update also adds trust validation for Model Context Protocol (MCP) servers. GitHub Copilot usage now is calculated based on token consumption rather than by request, as part of GitHub’s new usage-based bi…

JetBrains has announced JetBrains AI for Teams and Organizations, an initiative that promises to deliver a broad set of AI capabilities that connects AI tools developers already use with shared context, reusable agentic workflows, and organization-wide governance and cost control for software production. The intent is to move users from fragmented AI usage to coordinated software development, the…

Revised transaction structure enables immediate closing, accelerating the Company’s strategic pivot toward AI data centers, enterprise GPU compute, and digital power infrastructure. Envirotech Vehicles , Inc. (NASDAQ: EVTV) (“EVTV” or the “Company”) today announced the successful completion of its merger with Azio AI Corporation (“Azio AI”) on July 2, 2026, paving the way for the Company to trans…

Developers looking to curb the cost of AI-powered coding tools have increasingly turned to the “Caveman” prompting style, which instructs coding assistants to communicate in blunt, telegraphic language and avoid conversational padding. The theory is simple: fewer words mean fewer tokens, translating into lower inference costs for organizations deploying AI agents at scale. A new test from IDE mak…

AI is getting most of the attention in enterprise technology. Governance, ownership, and data quality do most of the heavy lifting behind the scenes. And yet, as organizations move from AI experiments to production deployments, trusted context is becoming a key factor in determining whether agents create business value — or operational risk. That shift is reshaping how Salesforce, Microsoft, Snow…

Data products help standardize how raw data sets, data warehouse views, and data lake logical views are combined and used to deliver analytics and AI capabilities. By developing data products, teams can streamline much of the upfront data pipelines , governance , and management needed to deliver trusted data assets that people, tools, and AI can then use for different purposes. The way you cook a…

When I started evaluating browser agents, most of the conversation around me focused on multimodal models, computer-use systems and screenshot-based automation. Almost every framework I evaluated assumed agents needed to perceive the web the way humans do, visually, pixel by pixel. The more time I spent shipping agents against real web applications, the more I became convinced we were solving the…

The cloud security landscape has changed dramatically in recent years, and 2026 presents a completely different scenario. The integration of advanced AI, autonomous agent systems, and the looming threat of quantum computing all require a new security approach, unlike the strategies that have worked for the past decade. While threats have obviously evolved, you might be surprised by how much defen…