The access control plane
for enterprise AI agents

Numynai turns plain-English agent access needs into precise, reviewable IAM policies, so developers ship faster, IAM teams stay in control, and enterprises avoid over-permissioned AI agents.

View use-cases

AI agents are moving faster than IAM workflows can keep up

Enterprise AI adoption is accelerating, but access provisioning still depends on manual back-and-forth between developers and IAM teams. Developers know what their agents need to do. IAM teams know how to secure access. The handoff between the two is slow, fragmented, and error-prone.

Today’s bottleneck is not building the agent. It is getting the right access approved and provisioned safely.

45:1

Machine-to-human identity ratio in enterprise today

CyberArk, 2025

40%

Of enterprises expected to face an AI agent breach by 2028

Gartner

$2–5K

Fully loaded cost to manually provision one AI agent

Industry estimate

3–8 wks

Average time to provision agent access manually today

What changes with Numynai

Before

Vague request. Manual discovery. Custom configuration across multiple systems. Access gaps. Over-provisioning. No clear audit trail.

  • Agent builder ships an agent
  • Vague Jira ticket to IAM
  • IAM team schedules discovery
  • Manual business-logic archaeology
  • Config across 4–7 systems
  • Agent tested → access gaps found
  • Over-provisioned as a shortcut
  • Zero audit trail

After

Plain-English intent. Structured access spec. One review screen. One-click provisioning. Least-privilege access. Automatic de-provisioning. Full auditability.

  • Agent builder describes intent
  • Numynai parses intent into access spec
  • IAM team review & one-click provisioning
  • Agent live — least-privilege by default
  • Full audit trail, always