Coming soon for security and platform teams

Just-in-time access control for AI agents.

GrantLane gives every agent a governed access lane: verified identity, temporary scoped permissions, approval workflows, and audit evidence across AWS, GitHub, and Kubernetes.

AWSGitHubKubernetesSlackJiraCI/CD

Access request

deploy-agent → production/aws

Approval required
1
Agent requests access
2
GrantLane evaluates policy
3
Approval is required or skipped
4
Scoped credentials are issued
5
Access expires and evidence is stored

Grant issued for 30 minutes

Scope: eks:namespace:prod-readonly · Policy: production-deploy-review

Product

A control plane between autonomous software and production systems.

Existing IAM tools were designed for humans and static service accounts. GrantLane is built for AI agents, deployment bots, copilots, and automations that need controlled runtime access.

Agent identity

Give every bot, workflow, and AI agent a clear owner, risk level, purpose, and lifecycle.

JIT access grants

Issue temporary, scoped credentials only when an agent needs them — then expire them automatically.

Policy decisions

Decide allow, deny, or approval-required using agent, action, resource, environment, and time.

Human approvals

Route sensitive requests to the right approver before an agent touches production systems.

Audit evidence

Track who acted, on whose behalf, with which permissions, under what policy, and for how long.

DevOps-first connectors

Start with AWS STS, GitHub App tokens, and Kubernetes namespace-first access patterns.

Security model

Temporary by default. Auditable by design.

No standing access

Agents receive short-lived grants instead of long-lived secrets.

Policy before credentials

Every request is evaluated before a broker issues access.

Human-in-the-loop

High-risk actions can require owner approval before execution.

Evidence-ready logs

Every decision, approval, issuance, expiry, and revocation is recorded.

Early access

Building with design partners soon.

Join the waitlist if your team is experimenting with AI agents, internal copilots, deployment bots, or workflow automations that touch production systems.