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SafeLabs Guard

An independent verification layer for multimodal AI agents.

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SafeLabs Guard checks AI agent actions against perception evidence, authorization rules, and workflow state before execution.

PH · launched Nov 3, 2026 · 2 upvotes (top 19%) · 0 views

Niche: ai agent guardrail software · 200 launches, 24 in the last 7 days ▲ +20% · Explore this niche →

Category and tags

  • Horizontal
  • Observability & eval
  • B2B
  • AI-native
  • Commercial product
  • Developer Tools
  • Artificial Intelligence
  • GitHub
  • Tech

Visit website ↗ Source listing ↗

Could you build this?

Partial A rules engine that checks agent actions against authorization policies and workflow state is buildable, but verifying perception evidence from multimodal models is a research-grade problem that vibe coding won't solve.

What it would actually take: The base layer is a policy-enforcement proxy that sits between an agent and its tools, validating each action against permission rules and a state machine before execution, likely in Python or TypeScript with logging and an audit trail. The hard part is independently verifying what a multimodal model perceived, such as checking that a screenshot or sensor reading actually supports an action, which needs robust grounding, adversarial testing, and ML research into calibration and detection. Expertise in AI safety evaluation and formal verification would be needed to make the guarantees credible.

Competitors

Other products that read as similar to this one : 1417 launches clear the similarity bar, closest 8 shown.

Attention rank: #239 of 1418 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 368 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.