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ENTITY LLM Guard

LLM Guard

PulseAugur coverage of LLM Guard — every cluster mentioning LLM Guard across labs, papers, and developer communities, ranked by signal.

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Total · 30d
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6 over 90d
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Papers · 30d
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TIER MIX · 90D
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  1. 2026-07-14 controversy A critical Server-Side Request Forgery (SSRF) vulnerability was discovered in the LLM Guard security tool. source
SENTIMENT · 30D

1 day(s) with sentiment data

RECENT · PAGE 1/1 · 6 TOTAL
  1. COMMENTARY · CL_200318 ·

    Guardrail tool counts vary wildly due to differing definitions and architectures

    Counting the specific guardrail checks offered by different tools is surprisingly complex due to varying definitions and architectures. The author found that LLM Guard, despite its archived status, offers 27 distinct ch…

  2. TOOL · CL_141991 ·

    LLM application security: new risks and mitigation strategies

    The security of applications utilizing Large Language Models (LLMs) is a growing concern, as they introduce new attack vectors beyond traditional web vulnerabilities. LLMs process all input, including user prompts and r…

  3. TOOL · CL_130379 ·

    New benchmark reveals PII redaction tools leak sensitive data in LLM agents

    A new benchmark, privaite-bench, has been developed to test the effectiveness of PII (Personally Identifiable Information) redaction tools when dealing with LLM agent requests. The benchmark reveals that many common too…

  4. TOOL · CL_72984 ·

    Starlette Host Header Flaw Exposes AI Agents to Remote Control

    A critical security vulnerability exists in Starlette applications that use the Host header for authentication or routing, potentially exposing AI agents to remote control. Attackers can exploit this "BadHost" flaw to i…

  5. TOOL · CL_45670 ·

    Top 5 AI Agent Security Tools Compared for 2026

    The AI landscape is rapidly evolving with autonomous agents, necessitating robust security measures. This guide compares five leading tools designed to protect LLM applications from threats like prompt injection, data l…

  6. TOOL · CL_40494 ·

    New LLM-Guard method detects adversarial attacks on language models

    A new research paper details a method for detecting adversarial attacks on large language models. The proposed technique, called "LLM-Guard," analyzes model outputs to identify subtle manipulations designed to elicit un…