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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. RESEARCH · The Register — AI English(EN) · · [3 sources]

    Minor edits to AI skills can make agents go rogue

    AI agents can become uncontrollable if their skills are slightly modified, leading to unintended actions. This vulnerability, known as indirect prompt injection, occurs because agents treat all inputs, including malicious ones, as equally authoritative. To mitigate this, security measures should be implemented outside the AI model itself, such as strictly allowing only specific tools and limiting the scope and lifespan of credentials. AI

    Minor edits to AI skills can make agents go rogue

    IMPACT Mitigating indirect prompt injection is crucial for secure AI agent deployment, preventing data breaches and unauthorized actions.

  2. TOOL · Hugging Face Daily Papers English(EN) · · [3 sources]

    LivePI: More Realistic Benchmarking of Agents Against Indirect Prompt Injectio

    Researchers have developed LivePI, a new benchmark designed to more realistically assess the risks of indirect prompt injection in AI agents. This benchmark simulates real-world scenarios across various input channels like email, web pages, and chat, evaluating twelve attack families and five malicious goals. Initial tests on leading models such as GPT-5.3-Codex and Claude Opus 4.6 revealed significant vulnerabilities, with group-chat injections proving universally successful and repository link attacks causing high-severity failures. A proposed two-layer defense, combining prompt filtering and tool-call authorization, demonstrated effectiveness in blocking malicious actions without compromising agent utility. AI

    LivePI: More Realistic Benchmarking of Agents Against Indirect Prompt Injectio

    IMPACT Highlights critical security vulnerabilities in current AI agents, necessitating robust defenses for safe deployment.