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Use cases

When You Can’t Afford to Guess

Simulate changes while you work. Give agents deployed context. Get answers when something breaks.

For everyday changes

See what a routine change could break.

Simulate changes to permissions, network rules, or database settings as you work. See what they could affect and what to adjust. Most checks take under a minute.

A walkthrough of the Stag app: filtering inspections to critical security changes, opening an unsafe inspection's report, tracing its privilege-escalation path in the graph, and asking the assistant for a root cause analysis that streams in.

A permission meant for network interfaces would also allow changes to network routes, enabling tampering.

When your AI agents make changes

Let agents simulate while they code.

Your agent can ask questions and run simulations while writing code. Then it iterates to ensure safety.

Terminal walkthrough: an AI agent asks Stag what depends on OrganizationAccountAccessRole, gets an UNSAFE critical security verdict for a wildcard resource, narrows the resource to one network interface and re-runs the analysis to SAFE with 0 failed.

In the CLI demo, the agent narrows the permission and reruns the simulation. The verdict changes from UNSAFE to SAFE.

During or after an incident

Find what changed. Simulate the fix.

Review changes and the risks Stag identified. Investigate the evidence, then simulate a proposed fix before deploying.

Stag app walkthrough: the Inspections table is filtered to Unsafe decisions and Manual triggers, a NAT gateway deletion inspection opens with an UNSAFE, HIGH risk report over its blast-radius graph, and chat streams a root cause analysis covering the triggering event, causal chain, blast radius, operational impact and recommended next steps.

The report traces the possible effects of a gateway deletion across connected systems, highlighting security and availability risks beyond where the change originated.

For migrations, upgrades, and replatforming

Plan around dependencies.

See what depends on the systems you plan to move. Build the plan around those connections, then simulate upcoming changes.

Stag Explore walkthrough: the user asks which compute instances were added or removed over two months and gets a change report and a diff graph of 7 added and 9 removed instances, then asks which network has the largest blast radius; the answer is the infratwin-prod VPC with a radius of 108, and the graph zooms to that network node to show its metadata.

More ways to put Stag to work.

  • [01] Inherited and acquired infrastructure

    Know what you're taking on.

    Explore what’s deployed, how it’s configured, and what depends on it. Use the answers to plan the integration or cleanup.

  • [02] Changes outside your pipeline

    The change is live. Check its effects.

    Stag detects changes from consoles, scripts, and cloud automation on its next scan, then simulates their effects. See the change's side effects immediately.

  • [03] Audit & compliance

    Bring the record to the audit.

    Ask what changed during the period under review. Get the change history and related findings together in minutes.

  • [04] Shared environment knowledge

    Let the expert take a vacation.

    Enable teams and agents to understand deployed resources, settings, and connections.

Q&A

But what about...

See a decision on one of your own changes

Ready to stop finding out in production?

try stag