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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 · arXiv cs.MA (Multiagent) English(EN) · · [3 sources]

    KYA: A Framework-Agnostic Trust Layer for Autonomous Systems with Verifiable Provenance and Hierarchical Policy Composition

    Researchers have introduced KYA (Know Your Agents), an open-source trust and governance layer designed for autonomous systems. KYA aims to provide operators with insights into an agent's correctness, policy adherence, and potential rogue behavior, complementing existing observability tools. The framework is designed to be agnostic across numerous agent frameworks and includes features for verifiable provenance and hierarchical policy composition. AI

    IMPACT KYA offers a new layer for verifying the trustworthiness and policy adherence of autonomous agents, potentially improving the safety and reliability of AI systems.

  2. TOOL · dev.to — LLM tag English(EN) ·

    How to test your LLM application for jailbreak vulnerabilities

    Testing LLM applications for safety vulnerabilities is crucial, as models that perform well on public benchmarks may fail in real-world application contexts. These failures can stem from prompt format drift, context contamination, or tool/agent loops that allow models to bypass safety measures. Developers should build local evaluation harnesses using tools like Garak or PyRIT and define specific threat models relevant to their application to catch domain-specific vulnerabilities. AI

    How to test your LLM application for jailbreak vulnerabilities

    IMPACT Highlights the limitations of generic LLM safety benchmarks and advocates for custom, application-specific testing to ensure robust behavioral safety.