Cross-system research
Runs frontier models across code, cloud, and runtime so a single question can fan out across GitHub, GitLab, AWS, GCP, Azure, and Kubernetes.
Cynative
Cynative is a command-line tool for infrastructure research that reasons across code, cloud, and runtime and returns verified answers. Read-only for exposure checks, permission tracing, and drift analysis.
Infrastructure research CLI
Cynative is a command-line research tool for infrastructure and runtime questions. Its README describes it as a way to ask your infrastructure anything and have frontier models reason across code, cloud, and runtime as one system, then return verified answers.
The repository shows examples focused on security, drift, permissions, and exposure analysis. Cynative can run research code in an ephemeral sandbox, query APIs in parallel, and cross-check findings against live evidence before presenting results.
The product is positioned as read-only by construction: calls are gated and authorized before credentials are attached, and the README says the research sandbox has no host access with network access pinned to mapped services. The documentation also shows support for multiple LLM providers through environment variables and simple CLI prompts.
Core capabilities
Sandboxed parallel querying
Writes and runs code in an ephemeral sandbox to query APIs in parallel, which the README says helps it research at scale.
Evidence-backed answers
Cross-checks findings and traces them back to source evidence so the output is verified rather than a single model answer.
Read-only by design
Uses an action-gate and read-only policy so every call is authorized before a credential is attached, and the tool fails closed when required IAM actions are not allowed.
Secret redaction in the workflow
Redacts secrets from tool output before they are sent to the model, according to the README’s comparison table.
Single-binary deployment with provider flexibility
Provides a single binary with built-in connectors and supports many model providers through the embedded Bifrost SDK.
Practical use cases
Cloud security investigations
Use Cynative to ask where a cloud environment is exposed, which permissions are high risk, or whether a credential leak has changed the blast radius of a system.
Permission and change tracing
Trace privilege paths, IAM escalation routes, and policy changes back to the pull request or source of origin when you need an audit trail.
Drift detection
Compare live cloud resources with infrastructure-as-code to find drift between what is deployed and what should be deployed.
Cross-stack troubleshooting
Investigate issues that span application code and runtime data by querying GitHub or GitLab alongside cloud and Kubernetes systems in one pass.
Ad hoc infra research
Run research in an interactive session or with one-off prompts when you need a repeatable CLI workflow for ad hoc infrastructure questions.
Pros and Cons
Pros
- Reasoning spans code, cloud, and runtime instead of treating each system separately.
- Findings are cross-checked against live evidence and traced back to their origin.
- The workflow is read-only and fails closed when required actions are not permitted.
- The tool runs research in an ephemeral sandbox and keeps secrets redacted from model input.
- The CLI supports a straightforward quick-start path with environment variables and prompt mode.
Cons
- The repository documentation is strong on workflow and provider support, but it does not fully document every connector, limitation, or deployment boundary on the pages provided.
- Product-specific pricing is not described in the Cynative repository; the only pricing evidence in the research set comes from GitHub’s general pricing page.
FAQ
What kinds of questions is Cynative meant to answer?
Cynative is presented as a research tool for infrastructure questions across code, cloud, and runtime. The README shows example prompts such as identifying exposed cloud resources, tracing IAM role escalation paths, and finding drift between live resources and infrastructure-as-code.
How do you use Cynative?
The quick start shows a command-line workflow: install Cynative, set an LLM provider and model in environment variables, then run a prompt with `cynative -p` or start an interactive session.
What systems and model providers does it support?
The README says Cynative can reason across GitHub, GitLab, AWS, GCP, Azure, and Kubernetes, and the provider docs show support for many LLM providers including OpenAI, Anthropic, Azure OpenAI, Bedrock, Vertex, Gemini, Cohere, Mistral, Groq, Ollama, and vLLM.
Does Cynative make changes to infrastructure?
Cynative states that it is read-only by construction, with every call gated and authorized before a credential is attached. It also says research code runs in a sandbox and that findings are cross-checked against live evidence.
Is there product-specific pricing information in the repository?
The pricing page on GitHub shows a free plan, a Team plan, and an Enterprise plan with a free trial path, but the Cynative repository itself does not document product-specific pricing.
Quick Facts
- Category
- Developer Tool
- Product type
- CLI research tool for infrastructure
- Primary use
- Investigating code, cloud, and runtime questions
- Supported systems
- GitHub, GitLab, AWS, GCP, Azure, Kubernetes
- Model support
- OpenAI, Anthropic, Azure OpenAI, Bedrock, Vertex, Gemini, and others
- Source domain
- github.com
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