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Humanbound

Open-source security testing for AI agents and chatbots

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Humanbound continuously tests AI agents and chatbots with adversarial attacks, tags findings to OWASP LLM and Agentic Top 10, and scores security posture.

PH · launched Oct 27, 2026 · 1 upvote (top 67%) · 0 views

Niche: ai agent security and monitoring tools · 276 launches, 16 in the last 7 days ▼ -43% · Explore this niche →

Category and tags

  • Security
  • Observability & eval
  • Developer
  • AI-native
  • Commercial product
  • Productivity

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Could you build this?

Partial Dashboards, scheduling and OWASP tagging are vibe-codeable. Meaningful adversarial testing and scoring needs a curated, validated attack corpus and evaluation methodology that requires security research expertise.

What it would actually take: The stack is an attack orchestrator that sends adversarial prompts to target agents or chatbots through their APIs, then classifies responses against OWASP LLM and Agentic categories. The hard part is building attack libraries and judges that produce reliable, low-false-positive findings, which needs AI red-teaming expertise and ongoing research to keep up with new attack techniques.

Competitors

Other products that read as similar to this one : 1929 launches clear the similarity bar, closest 8 shown.

Attention rank: #1126 of 1930 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 362 days after the earliest competitor.

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