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Lelu

gate OpenAI agent actions on confidence and prompt injection

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HN · launched Jun 24, 2026 · 6 upvotes (top 69%) · 0 views

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

Category and tags

  • Horizontal
  • Compliance & governance
  • Developer
  • AI-native
  • Commercial product

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Could you build this?

Partial A basic middleware interceptor wrapper for OpenAI tool calls is simple, but reliable prompt injection defense and calibrated agent confidence scoring remain hard, unsolved security challenges.

What it would actually take: The architecture requires an inline proxy or SDK wrapper around LLM agent execution that runs lightweight adversarial classifiers and semantic analysis before granting function execution. The difficult component is developing a robust, low-latency defense against zero-day jailbreaks, indirect prompt injections, and hallucinated function parameters without crippling legitimate workflows. This demands specialized LLM security researchers, red-teaming benchmarks, and custom fine-tuned classification models.

Discussion

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Competitors

Other products that read as similar to this one : 3640 launches clear the similarity bar, closest 8 shown.

Attention rank: #2507 of 3641 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 238 days after the earliest competitor.

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