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Scale

Coverage expansion

Yes — the same engine scales up several axes:

  • More resource types — 4,258 controls across 91 domains: S3, IAM, EC2, KMS, Lambda, ECS, EKS, Bedrock, OpenSearch, Cognito, CloudFront, and 74 more. Browse the full set under Reference → Full Control Catalog.

  • Whole-estate snapshots via Steampipe. Instead of hand-running AWS CLI calls, use Steampipe to query your cloud as SQL and emit the facts Stave evaluates. Steampipe's AWS plugin enumerates resources across accounts/regions; a thin mapping turns those rows into obs.v0.1 observations:

    # Steampipe queries your cloud as SQL; export the rows...
    steampipe query "select arn, policy, tags from aws_s3_bucket" --output json > buckets.json
    # ...then map to obs.v0.1 and evaluate the whole estate
    python3 steampipe_to_obs.py buckets.json > snapshot/s3.json
    stave apply --observations ./snapshot/ --format sarif

    This is the natural path from "one snapshot" to "every account, on a schedule." See How to create snapshots for the extraction patterns — AWS CLI, Terraform, Steampipe.

  • Compound chains — at estate scale, the high-value findings are the cross-resource attack chains; the engine assembles those automatically.

Feedback

Email bparanj@gmail.com — feature requests, control gaps, "Stave missed X" — that's a control-gap signal and exactly what we want — and rough edges. Concrete snapshots + expected-vs-actual verdicts are the most useful.

Extensibility

  • Controls are code — write your own in ctrl.v1 YAML + CEL; the engine runs them alongside the built-ins, so your policy library grows with your needs.
  • Stable contractsobs.v0.1 / ctrl.v1 / out.v0.1 are versioned, so your snapshots, controls, and pipelines keep working across releases.
  • Reasoning engines — beyond CEL, facts can be exported to external solvers — Z3, Souffle — for heavier reasoning as your questions get harder.
  • Deterministic at any scale — same inputs, same verdicts, whether it's one bucket or ten thousand.

What's next