[What stag does]
Most tools tell you what broke. Stag tells you what will.
Stag gives teams a clear view of how a change will behave inside their environment. It represents your system as a living graph and predicts how changes move through services and shared components before they cause harm. Instead of guessing, teams see the impact early and act with confidence.
[01]
Builds the model
Reads live cloud config, IAM, network, Kubernetes config, database schema, access, IaC, and manual changes. Keeps the full history of every change to your infrastructure.
[02]
Simulates the change
Shows how side effects ripple through across your infrastructure before it reaches production.
[03]
Shows what will fail.
Flags broken dependencies, failure paths, degraded services, and systems at risk before deploy, regardless of depth.
[04]
Shows what will be exposed
Surfaces widened access, open data paths, posture drift, and weakened controls before they turn into incidents.
[05]
Returns a verdict
Safe or Unsafe. Gives reviewers a clear reason, not a guess.
[06]
Blocks unsafe changes
Guards against risk directly at deployment time via CI/CD or CLI integration.
Causal Simulation:
Computing consequences,
not correlations
Stag is built on a mathematical breakthrough that makes causal simulation possible for deeply coupled systems at any scale.
The hard part is state explosion. Brute force and rules explode exponentially. Graph methods miss the coupled dynamics. AI hallucinates causality.
Proposed changes enter the model as a counterfactual. Stag computes the post-change state directly. No training. No fine tuning. No hocus pocus.
Availability, performance, security, and toil are not separate checks. They are four views of the same computation. Just like a human reviewer.
Availability
What now shares fate? Where does redundancy collapse?
Performance
Where do latency, queueing, retries, and saturation emerge?
Security
What becomes newly reachable? What happens to trust boundaries?
Toil
Will this trigger alert storms, break runbooks, or dump work on SREs?
USE CASES
Where Stag fits into your work
Understand the impact of any change before it reaches production.
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See blast radius across IAM, network, Kubernetes, data, and shared services
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Chat with inspections for recommendations, root cause analysis, and details
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Expose change risk-related trends
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See Stag on a real change
Bring a real change. We'll show you what will break before production.
Private deployment. Read-only access. CI/CD or CLI access. No agents. No traffic in path.
Ship more. Fix less.