cyberivy

Search results for “AI Infrastructure”

Full-text search across every article: title, summary, plain-language explanation, and the complete text — archived stories included. Typos are fine.

246 results for “AI Infrastructure”

  1. Vigolium tests web security with scans and an agent

    #Vigolium#AI Security#AppSec

    fast, repeatable checks and an Agentic Scan that combines AI-assisted source-code audit, attack planning and result triage. That places Vigolium in an important gap. Many teams want to use AI in security, but not as a

  2. Agent frameworks: GitHub stars do not measure enough

    #Open Source AI#AI Agents#Developer Tools

    reached 41. Lower-profile frameworks such as Pydantic AI can show higher contributor density even when they are less visible in the market. Why it matters Many teams choose agent frameworks under time pressure. A high

  3. Claude Science brings research, code and compute together

    #Claude Science#Anthropic#Research Tools

    but a concrete tool: Anthropic describes it as an AI workbench for scientific work, available since June 30, 2026. According to Anthropic, the beta is available for Claude Pro, Max, Team and Enterprise users on macOS and

  4. Trump pauses AI order: safety check or innovation brake?

    #AI Regulation#Trump#Frontier Models

    Donald Trump abruptly stopped the signing of a planned AI executive order on May 21, 2026. AP, USA Today and CNBC all report that the draft would have created a voluntary path for government pre-review of especially

  5. Claude Fable Could Bring Mythos Out of the Security Lab

    #Anthropic#Claude Fable#Claude Mythos

    for defenders, open-source maintainers, and critical infrastructure organizations. That makes this more than a model-name rumor. It is a security story. What Claude Fable actually does If the reports are accurate, Fable

  6. LM Studio brings local language models to regular computers

    #LM Studio#Local LLM#Private AI

    a concrete tool for people who do not want to send every AI task straight to the cloud. It is especially interesting for developers, privacy officers, schools, labs and small teams that want to try local models before

  7. Google reports first likely AI-developed zero-day exploit

    #AI Security#Zero-Day#Google

    exploit that was likely developed with the help of an AI model. The exploit targeted two-factor authentication in a popular open-source, web-based administration tool. Google does not name the vendor or the specific

  8. GitHub Copilot Gets Cloud and Local Sandboxes

    #AI Security#Cyber Ivy#June 2026

    is not a security boundary. Isolation becomes core infrastructure. What teams should do now: Enable sandboxing by default, restrict network access, remove secrets from local environments, and manage policy centrally.

  9. RAGFlow builds a verifiable context layer for AI agents

    #RAGFlow#RAG#AI Agents

    chatbot, but a concrete tool for teams that want to bring AI into real workflows. Its value is not one model answer, but a cleaner way to connect documents, models, permissions, or operations. For this tool check, one

Browse all AI news in the archive