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228 results for “AI Regulation”
… penetration testing. For Cyber Ivy, Strix is a strong AI tools candidate because it is not a general model launch or company announcement. It is a concrete tool with a GitHub repository, product site, documentation, and …
What this is about AISPA stands for Artificial Intelligence System Prompt Assurance. The study, submitted on July 30, 2026, examines a part of AI products users usually never see: system prompts. These are developer …
… That makes it a concrete developer tool, not a general AI news item: install it, initialize it, configure a model provider, and generate a wiki. What OpenWiki actually does OpenWiki runs from the command line. According …
… incidents drawn from public vulnerability databases and an AI harm database. That matters because LLM security often sounds abstract. The new list asks more directly: where has damage already landed, and where are teams …
… OWASP has published version 2.01 of its report on agentic AI security and governance. Help Net Security covered it on June 11, 2026. The difference from many older AI security debates is that the examples are no longer …
… MCP to access defined live data. This is a concrete AI tool, not a general analytics trend. Users receive skill files, setup guides, metric maps, and troubleshooting flows. One example is a GA4 Website Traffic & …
What this is about Jupyter AI is an open-source extension for JupyterLab. It connects notebooks with chat, model providers, and agents. Project Jupyter says the project is part of the Jupyter frontends area; the …
… on June 22, 2026 that they will embed specialized AI agents into Nokia’s autonomous-network products. The agents are built with Google’s Gemini models and are expected to first help inside Nokia Assurance Center, where …
… is an open application from CopilotKit for personal AI agents on web, iOS, and Android. Users specify an outcome, see the plan, follow browser or file work, and can pause, resume, or take over tasks. Released in …
… fast baseline. For real people, this matters because many AI products promise to "take over processes". A shop is small enough to understand, but complex enough to expose typical agent problems: scarce resources, …
