autonomous developer access management

Autonomous developer
& AI-agent access
management.

Permissions granted, monitored, and revoked 24/7.

Static keys, manual approvals, and spreadsheet policies weren't built for engineering teams running AI agents in production. Grantpath is.

grantpath policy engine
$ cursor --request-access prod-db
→ Agent: cursor/v2.1 | Scope: read | TTL: 30m
 
✓ Policy match: eng-agents/db-read-only
✓ Credential minted, expires 18:32:00 UTC
✓ Audit: request_id=grt_9c4f | anomaly: none
 
$ devin --request-access prod-db --scope write
→ Agent: devin/v1.8 | Scope: write | TTL: 60m
✗ Policy denied: write scope not in agent allowlist
  → Anomaly flagged: off-hours + elevated scope
 
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live Policy engine evaluating AI agent access requests

The access layer
wasn't built for agents.

Every AI coding agent — Claude Code, Copilot, Cursor — needs cloud credentials to do real work. But the infrastructure that grants those credentials was designed for humans, not autonomous software.

96% of employee IAM permissions go unused — until an AI agent needs them
$4.8M median cost of an insider-related breach in 2025 (Ponemon)
0 access platforms built for AI agent workflows — until now

how it works

From policy definition to
enforced access in minutes.

01

Define policies in code

Write access rules as YAML, check them into git, and review them in pull requests like any other infrastructure change. Every agent identity, resource, and allowed scope is declared explicitly — no implicit trust.

02

Grantpath evaluates every request

When a developer or AI agent requests access, the policy engine checks agent identity, requested scope, resource sensitivity, and time window — in under 100ms. Approved requests get a time-limited credential. Denied requests get logged and flagged.

03

Access revoked automatically, audit trail always on

Credentials expire without any manual action. The audit log captures every grant, denial, and anomaly — structured, exportable, and SOC2-ready. No manual cleanup. No forgotten service accounts.

what you get

Three capabilities your access layer
doesn't have yet.

Autonomous permission granting & revoking

Every credential is minted to a specific resource, scope, and time window — and revoked the moment it expires. No stale keys. No manual rotation. Works for human engineers and AI coding agents equally.

24/7 access monitoring with anomaly alerts

Every access event is logged with agent identity, scope, and timestamp. The anomaly engine flags off-hours requests, scope escalations, and unusual patterns in real time — before they become incidents.

Policy-as-code for humans AND AI agents

Write access rules in YAML, commit them to git, review them in pull requests. One policy layer that governs your staff engineers and your AI coding agents — Cursor, Claude Code, Devin — with the same enforcement guarantees.

who it's for

Built for the people who own
the access layer.

Head of Platform Engineering

You're shipping internal tooling for a team where half the "developers" are now AI coding agents. Your existing IAM setup was designed for humans. Grantpath gives you a policy layer that treats both the same — without rebuilding from scratch.

Security Engineering Lead

You're on the hook for SOC2, but your engineers are handing static cloud credentials to Cursor and Claude Code. Grantpath gives you scoped, time-limited, audited access — so you can prove that no agent had standing write access to prod last quarter.

Best fit: Startups with 15–200 engineers where production infrastructure is already running AI coding agents. If your team is still debating whether to use AI agents, come back in six months.
why now

"AI agents are becoming authorization bypass paths. Security controls built for human users don't map cleanly to agent-mediated workflows."

— The Hacker News, January 2026

The teams shipping AI coding agents to production right now are the same teams discovering that the access layer wasn't designed for autonomous software. Grantpath closes that gap — before it becomes a breach.

the belief

In 2027, every engineering team will run at least one AI agent in production. That agent will need cloud access. The question isn't whether to build access control for AI agents — it's whether to build it before or after the incident.

Grantpath is the access platform for that moment. Not a chatbot. Not an access request form. A system that works the way agents work — automatically, continuously, and with full accountability.