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Aethra Runtime defence

Runtime defence and governance for AI agents

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Aethra AI is building a runtime defence and governance platform for AI agents - an enforcement layer that tracks data provenance and blocks untrusted instructions before they can drive agent actions. Our open-source SDK (Apache 2.0, Python/Node) is on GitHub, with an optional hosted control plane for approvals and audit. On AgentDojo, Aethra blocked 35/35 injection goals, 0 false positives (full LLM-backed evaluation in progress).

PH · launched Sep 12, 2026 · 1 upvote (top 69%) · 0 views

Niche: ai agent guardrail software · 200 launches, 25 in the last 7 days ▲ +25% · Explore this niche →

Category and tags

  • Security
  • Compliance & governance
  • B2B
  • AI-native
  • Commercial product
  • SaaS
  • Privacy
  • Artificial Intelligence

Visit website ↗ Source listing ↗

Could you build this?

Partial A basic proxy SDK that wraps agent function calls with regex or lightweight prompt checks can be vibe-coded, but robust runtime data provenance tracking and zero-trust taint analysis require sophisticated security engineering.

What it would actually take: A true runtime defense platform requires implementing fine-grained dynamic taint analysis and data-flow tracking across heterogeneous LLM prompts, embeddings, and tool outputs. The technical stack involves an eBPF or AST-level instrumentation engine in Python/Node to intercept execution contexts, combined with formal grammar parsers, cryptographic data provenance tokens, and sub-millisecond policy enforcement engines written in Rust/C++.

Competitors

Other products that read as similar to this one : 1039 launches clear the similarity bar, closest 8 shown.

Attention rank: #756 of 1040 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 316 days after the earliest competitor.

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