Level 3 agent autonomy is here

Your agents ship. Forgecroft decides if it's safe.

Agent-authored code is outpacing manual review. Forgecroft maps your environment and checks each change against appropriate controls, so your agents earn measurable autonomy.
Foundational software for autonomous agents.

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payments-api · change #482 · adds webhook retry
Existing CI all greentests · lint · build
Forgecroft gate Go with conditionsduplicate billing: retries re-emit queue events; invoice-worker never dedupes
The condition hold the retry flaguntil invoice-worker proves idempotency
orders-api · change #533 · drops unused column
Existing CI all greentests · lint · build
Forgecroft gate No go3 services still read it: ledger, reports, invoice-worker via views
To unblock migrate the readers firstthen the drop is safe to ship
billing-service · change #517 · edits payout schedule
Existing CI all greentests · lint · build
Forgecroft gate Go with conditionsregulated payment path: payout logic sits in PCI-audited scope
The condition human approval requiredpolicy traced to payout-policy.yaml · line 42 · commit 8f3c2ae
web-console · change #541 · fixes typo in empty-state text
Existing CI all greentests · lint · build
Forgecroft gate Gocopy-only change: no logic, no data path, no control in scope
The outcome merged automaticallyno human in the loop; full audit trail kept

01How it works

What happens before a change ships

Tests tell you the code runs. Forgecroft tells you it's safe to ship. Your code, infra, pipelines, and containers are a system, and changes are judged in that context.

Ingest
Code, infra, CI/CD, containers, governance
Map
One verifiable graph
Govern
Controls + blast radius
Verdict
go / go with conditions / no go
Ship
Merge. Deploy. Act.
Changes are checked against the graph → ← Evidence & outcomes feed back

02How it's built

Built in two layers

One layer maps your system. The other checks changes against that map before they ship.

1

The system map

Your systems, services, and controls become one graph, automatically. Connections trace to a source file, line, and commit. Nothing is hand-maintained.

2

Governed action

Actions run through the graph, so they're checked against the controls that govern them and everything downstream they could break. The agent doesn't ask permission as a separate step. It acts, and Forgecroft answers with a verdict.

Want to see it run on your system?

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03What it tells you

Answers you can act on

For changes your agents make, before they ship.

Safety

Is this safe to ship?

A clear verdict: go, go with conditions, or no go, with the reasons behind it.

Impact

What will this break?

The blast radius of a change, upstream and downstream, before it reaches production.

Confidence

Are we sure, or guessing?

A confidence score on the answer, and a flag on anything the graph can't see yet.

Priorities

What's worth fixing first?

Where your coverage and controls are weak, ranked by what actually matters.

04How it's different

Built what you asked for isn't the same as safe to ship

Coding-agent platforms verify that the agent did what you asked. Forgecroft verifies that the change is safe to run in your system.

Agent workspaces

Check that an agent did what you asked

Great at following instructions inside one workspace. Blind to everything outside the diff.

  • ✓ Fast iteration inside one workspace
  • ✓ Confirms the agent followed instructions
  • ✗ No model of the system outside the diff
  • ✗ No cross-layer blast radius
  • ✗ Locked to one agent, one vendor

Forgecroft

Checks that the change is safe against the system you run

The same checks work under any agent, including the next one you switch to.

  • ✓ Whole-system graph: code, infra, CI/CD, containers, governance
  • ✓ Confidence scores that show their gaps
  • ✓ Deterministic verdicts from your system's recorded state
  • ✓ Works with any agent

05Trust

Verdicts show their confidence and their blind spots

A verdict is only useful if you know how much of the system it saw.

Confidence you can check

Verdicts carry a confidence score and the coverage behind them, so you can see how much of your system the graph actually saw.

How far a change reaches

Blast radius shows everything Forgecroft can trace as affected by a change, and flags the parts it can't.

Backed by evidence

Verdicts point to the evidence behind them, so you can see why.

Exceptions on the record

Overrides are tracked and visible, so nothing slips through unnoticed.

Deterministic verdicts

Verdicts come from traversing your system's recorded state. The same change always gets the same answer.

You make the call

Forgecroft advises. It never acts on its own.

06Where it applies

Wherever your system changes

A diff, a deploy, a config change, a migration plan: each is evaluated against the same graph before it happens.

Autonomous coding

AI agents author and ship diffs with awareness of your controls, blast radius, and best-practice gaps.

Infrastructure-as-code governance

Plan and apply gated against compliance controls; drift detected against intent.

Autonomous deploys

Deploy and config agents validate against controls before promoting; blast radius surfaces what a change touches.

Compliance automation

Continuous evidence collection with expiry; audit-ready provenance mapped to SOC 2, NIST, SLSA, and PCI-DSS.

Incident response

Blast-radius traversal answers “what's downstream” before a human ever pages.

Migration & refactor planning

Sequence emerges from the dependency graph; risk surfaces per step.

See what Forgecroft catches in your system

Tell us about your stack and we'll take it from there.

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