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buried-injections

🛡️ Regex catches 0%, Meta's Prompt Guard 2 catches 1% of 629 realistic AgentDojo injection attacks when they're buried in tool output. Reproducible benchmark.

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GITHUB · launched Sep 23, 2026 · 19 upvotes (top 41%) · 0 views

Niche: llm security and guardrails software · 58 launches, 5 in the last 7 days ▼ -44% · Explore this niche →

Category and tags

  • Security
  • Observability & eval
  • Developer
  • AI-native
  • Hobby / open-source project
  • agentdojo
  • ai-agents
  • benchmark
  • llm-security
  • mcp
  • prompt-guard
  • +1 more

Visit website ↗ Source listing ↗

Could you build this?

Yes It is an evaluation benchmark dataset and test runner script for evaluating LLM prompt injection defenses against tool outputs, easily created with Python and standard LLM APIs.

Competitors

Other products that read as similar to this one : 85 launches clear the similarity bar, closest 8 shown.

Attention rank: #28 of 86 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 305 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.