ShadowStack™
ShadowStack is a pre-commit what-if simulator. Ghost-deploy a proposed infrastructure change into a declared twin you supply; telemetry, cost and latency are synthetic (Phase 0). You get a verdict before the change reaches production.
The outcome
You approve an infrastructure change, a Terraform diff, a schema migration, a topology rewrite, and hope. The blast radius, the latency regression, the cost delta only become real once it's live.
The change is ghost-deployed against a digital twin of your environment first, and comes back with a quantified verdict, blast radius, cost delta, latency regression, before the pull request merges.
ShadowStack is how a governed system is meant to stay governed through change: you simulate a change against a twin before it touches the environment your agents run in. Read it as a simulator, not as a control. Every /api/v1 route requires a VAID proof-of-possession signature, and changing the twin also needs the twin:sync capability; the MCP SSE transport is not covered. The twin is still one you declare, so a verdict is only as good as the twin you supplied.
How it works
ShadowStack doesn't run your workloads against a copy, it models your infrastructure as a dependency graph and computes what a change would do to it. Parse, apply, simulate, verdict.
Read the change
A proposed change is parsed from its real form, a Terraform plan, a SQL DDL migration, or a Kubernetes topology rewrite.
Apply to the twin
The change is applied to a declared twin you supply; telemetry, cost and latency are synthetic (Phase 0). The twin is a weighted dependency graph of your resources and how they rely on each other.
Quantify the impact
The simulation computes blast radius, cost delta, latency regression and ownership conflicts, the ways the change would actually bite.
Return a verdict
It emits a single verdict, overall risk, safe or unsafe to deploy, with the numbers behind it, published as a pinned wire schema other tools can consume.
Proof
Seed a small twin, an API service, a database, a cache, then ghost-deploy a change that scales the database, and watch the blast radius connect.
change: scale aws_rds.orders_db
db.r6g.2xlarge → db.r6g.4xlarge
synthetic overall risk CRITICAL
synthetic blast radius 84.0 / 100
synthetic latency p50 8.7ms → 14.5ms (+66.4%)
synthetic latency p99 48.9ms → 70.7ms (+44.5%)
synthetic cost total $468.00 → $918.00 (+96.2%)
synthetic ownership data (CRITICAL)
────────────────────────────────
synthetic verdict UNSAFE TO DEPLOY These are the figures pinned by a test on ShadowStack's main branch. All of them are synthetic (Phase 0): computed over a declared three-service fixture, not a real environment.
SYNTHERA is the trust layer for multi-agent systems: every agent gets a verifiable identity, scoped authority and a tamper-evident record, so software from different teams, vendors and frameworks can act on each other’s behalf without custom glue between every pair.