Enterprise controls for AI coding agents
Policy enforcement, approval gates, model routing, and immutable audit trails — wrapped around the AI tools your engineers already use. Runs in your cloud.
Approval queue
FinCard demo
Blocked actions surface with reviewer, rationale, and immutable audit refs — the gate your security team actually reviews.
The problem isn't AI agents. It's running them without guardrails.
Ship faster without losing control
Engineers keep their preferred AI tools. Security gets approval gates and audit trails.
Approve before it executes
Destructive commands, external writes, and sensitive operations pause for explicit confirmation.
One policy across every repo
Same rules, budgets, and audit format — laptop, CI, or cloud worker.
How every tool call gets evaluated
Step 1
Intercept
Catch the tool call at execution time — not after a bad change landed.
Step 2
Classify
Score risk using tool metadata, policy rules, and approval history.
Step 3
Enforce
Allow, confirm, or block — then record the outcome for audit.
Allow
Low-risk reads and deterministic checks run without friction.
Confirm
Sensitive operations pause for explicit human approval.
Block
Policy violations stop before the action executes.
Validated on AWS today
Bedrock routing, IAM-scoped workers, VPC endpoints, and audit telemetry inside your account. Azure and Google Cloud adapter tracks are roadmap.
See the full deployment comparison on the homepage cloud section.
Try it on one repo
Prove approvals, audit, and policy on a real workflow. Then roll it out.