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Cynative

Read-only CLI in Go that explains your live infrastructure

Details

External ID
49086558
Source
HN
Company
—
Product
Cynative
Website domain
github.com
Launched
July 28, 2026
Cohort
—
Upvotes
16
Upvotes percentile
0.6589008363201911
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

Hey, we built an open-source CLI in Go purposed to help you answer security questions across your cloud, code and runtime. It connects to your GitHub, GitLab, AWS, GCP, Azure & K8s using the credentials that are already in your shell, while limiting itself to read-only.The core innovation here is the trust boundary - our agent has a built-in code execution sandbox with no host or network access; it is exposed to an internal tool which we call an “action gate” that performs read-only HTTP requests to your own infrastructure. Since the cloud providers constantly expand actions and services, the read-only allowed set comes from the providers themselves, refreshed every 24 hours (and is configurable).Some additional neat features: verifiers that recheck every finding, fail-closed audit log, host-pinning to your own infra, STS rescoping to SecurityAudit in AWS AssumeRole, secret redaction so the LLM never sees them, and much more.Even though the frontier models are becoming quite capable at answering broad security questions like “review my code” or “audit my cloud security posture”, we’d recommend starting with something more specific, like “what in my cloud is publicly exposed and shouldn’t be?” or “can my CI escalate to cloud admin?”.Repo and documentation available here: https://github.com/cynative/cynativeWould love to hear any feedback / feature requests.

Enrichment

Theme
self-hosted infrastructure and security tools
Vertical
Horizontal
Function
Observability & eval
Audience
Developer
AI stance
AI feature
Project type
Commercial product
Normalized one-liner
cli to explain infrastructure
Manually corrected
False

Could you build this?

Yes A read-only Go CLI that wraps existing cloud SDKs (AWS, GCP, Azure, K8s, GitHub) and feeds read metadata into an LLM for natural-language explanations is straightforward.

Discussion

4 comments analyzed.

Concerns raised: Persistent memory staleness and security trade-offs, Deciding what context to retain and trust

Feature requests: Smarter memory system with LLM wiki and graph, Store memory across sessions for context bootstrapping

Competitors

Other products that read as similar to this one — 103 launches clear the similarity bar, closest 8 shown.

Attention rank: #39 of 104 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 269 days after the earliest competitor.

Other launches for this product

Same idea, different domain

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