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AegisKernel

Zero-Trust AI Agent Security Runtime

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Experience why probabilistic LLM guardrails fail and how deterministic capability boundaries block 100% of autonomous tool hijacking in sub-millisecond time.

PH · launched Nov 2, 2026 · 2 upvotes (top 18%) · 0 views

Niche: ai agent security and monitoring tools · 276 launches, 18 in the last 7 days ▲ +20% · Explore this niche →

Category and tags

  • Security
  • Compliance & governance
  • B2B
  • AI-native
  • Commercial product
  • API
  • GitHub
  • Tech

Visit website ↗ Source listing ↗

Could you build this?

Partial A policy-enforcement proxy for AI agent tool calls can be vibe-coded as a demo, but a credible security runtime that claims to block all tool hijacking needs real security engineering and verification that vibe coding won't supply.

What it would actually take: The architecture would be a mediation layer between the agent and its tools, with capability tokens, a deterministic policy engine, and sandboxing (seccomp, gVisor, or WASM isolation). The hard part is proving the boundary holds against adversarial inputs, which needs security researchers and red-team testing, plus performance work to keep latency sub-millisecond.

Competitors

Other products that read as similar to this one : 3959 launches clear the similarity bar, closest 8 shown.

Attention rank: #652 of 3960 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 369 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.