InfoWorld

Oracle on Tuesday said it has partnered with Snowflake to make the latter’s AI Data Cloud available as a native service on Oracle Cloud Infrastructure (OCI). The partnership, announced at Oracle’s ongoing AI World conference, aims to help enterprises reduce data movement between the two platforms and the associated costs while accelerating analytics and AI workloads, the companies said in a joint…

Last week I wrote about how coding agents are better developers than humans . I’ll stand by that — the current agents can write code better, faster, longer, and with far less complaining than we humans can. But that doesn’t make humans unnecessary — quite the contrary. Humans still play a vital role in the process of building software. Here are eight reasons we can use to fend off the robots when…

While many organizations are in early AI agent rollouts, research suggests that more will scale to greater numbers of agents and assistants in the coming year. An August 2026 report states that 66% of enterprises are likely to invest in digital workers in the next 12 months. It reports that the top requirements for these agents include demonstrated accuracy, clear explanations around decisions, a…

A security research firm reported Monday that it had identified breaches of 42 third-party GitHub repositories in which attackers had deployed payload blobs large enough “to evade the GitHub search and API paths normally used to find this kind of compromise.” The report from JFrog Security Research said the victimized repositories contained execution hooks for AI coding assistants and IDEs, along…

The experimental just-in-time compiler, or JIT, for CPython will be removed after its maintainers missed deadlines for its formalization set by the Python Steering Council. According to reporting at LWN.net , the move comes after the council formally paused work on the JIT in June 2026 until it approved a Python Enhancement Proposal, or PEP, that described how the JIT could become a properly supp…

OpenAI has launched GPT-6.1 Terra, a new reasoning model that it says delivers near-frontier performance on visual reasoning, professional task execution, and computer-use benchmarks without the premium price tag. Replacing GPT-5.6 Terra, the model is aimed at organizations seeking better accuracy and automation capabilities for large-scale operational workloads. Claiming it to be a step up from …

An Alibaba AI model generated an unexpected command to upload data to a Beijing-region cloud storage service during a cybersecurity evaluation, rival developer Cohere said, raising concerns about the security of AI agents with access to enterprise systems. The model, Qwen3.8-Flash-Next, was being tested using Microsoft’s CTI-REALM cybersecurity benchmark, which tasked it with writing a rule to de…

Oracle is adding a new orchestration layer to its Fusion Cloud Applications suite to help enterprises automate business workflows, coordinate AI agents, and execute tasks across applications with less manual intervention. The new layer, named Fusion Companion, will allow enterprise users to initiate business tasks through external AI assistants such as ChatGPT, rather than navigating individual e…

Digital sovereignty has moved from a policy discussion to a practical enterprise cloud computing problem. For years, most organizations treated public cloud as a location-flexible utility. They placed workloads where performance, price, managed services, and availability looked best. Data residency requirements existed, of course, but they were often handled as narrow legal or compliance tasks. P…

“Bug-free, secure code is now attainable” is a nice idea . It just happens to be wrong. That ambitious statement was one of more than 80 replies to Eric Raymond’s optimistic take on AI-assisted vulnerability discoveries. Because the corpus of human-written code is finite, Raymond argues, so are its defects. With “a million friendly robots” to help fix them, we’re well-positioned to out-AI the bad…

The value of GraphQL emerges for a specific type of enterprise screen, one that brings together highly interdependent data across multiple sources. In all other cases, there is a price to pay, which is bound to come out after you have already made the decision. I build internal access-governance applications, with React front ends that talk to both REST and GraphQL back ends. Using the two side b…

Oracle is expanding its Autonomous AI Lakehouse with a Business Semantic Layer designed to give AI agents a consistent understanding of enterprise data, a move aimed at improving the accuracy of AI-generated insights and helping organizations scale agentic applications across business functions. To ground AI agents in business context, the Business Semantic Layer uses catalog annotations, SQL ann…

Malicious instruction files planted in a computer’s Downloads folder can trick AI coding agents into executing harmful code or exposing authentication tokens, Forever Security said after blocking an attempted attack on a customer’s machine and demonstrating similar techniques against OpenAI’s Codex and Anthropic’s Claude Code. In its research report, the firm said it discovered a malicious AGENTS…

No one can predict which AI provider will win the next benchmark cycle. The smarter approach is to build an architecture that can adapt as models change. One with a stable contract between agents and models, tools and state that exist outside any single provider, and evaluations that make each model change a measurable decision. The goal isn’t to avoid choosing a preferred model. It’s to ensure t…

Enterprises spent the last decade building API programs. A large organization now runs thousands of internal APIs, each with a spec, owner, authentication scheme, and access policies enforced at a gateway. As agents move into production, those APIs are the obvious source of the context agents need: customer records, order status, inventory, pricing, and support tickets. The more difficult questio…