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Stop shadow workforce
before it stops you.

The person you hired isn’t always the person doing the work.
imper.ai continuously verifies who is actually behind the account, every time it matters,
so unverified and unknown operators don’t go undetected inside your workforce.

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Hiring verifies who you onboard.
Nothing verifies who shows up after.

Once an account is active, no control re-checks who is operating it. Candidates hand roles to offshore proxies, organized rings resell employment, North Korean IT workers operate through laptop farms, and adversaries inherit accounts to steal IP. Each case looks normal at the activity layer. The drift is at the infrastructure layer.

Detect operator handoff after Day 1

A candidate passes the interview. Someone else does the job. The pattern ranges from benign (job-sharing, offshoring for a cheaper salary) to malicious (IP theft, illicit funding of nation-state programs).

Verify unknown and unverified workforce

Contractors, BPO agents, M&A-inherited accounts, and legacy users often never went through identity proofing. You don’t know who they are, only that the account is active.

1

Establish the baseline

imper.ai captures infrastructure-layer telemetry at a one-time identity-binding moment, either at hire (with imper.ai for Hiring) or at secure enrollment for the existing workforce. This becomes the reference for every verification that follows.

2

Verify at every high-risk moment

imper.ai embeds into existing IDP, MFA, and PAM workflows. When an employee performs a privileged action, accessing a code repository, approving a wire transfer, escalating into a sensitive system, the Impersonation Detection Engine runs a silent infrastructure check inside the step-up. No new prompt for the user. No new tool to deploy.

3

Re-verify on your policy

Trigger continuous workforce verification at the cadence you set: every two weeks, every month, every six months. The same infrastructure check runs against the established baseline. Drift surfaces immediately.

Multi-layered workforce identity assurance


imper.ai detects attacker-controlled environments by analyzing infrastructure signals across the interaction, including device integrity, virtualization artifacts, remote control tooling, and network anomalies.

By correlating hundreds of real-time signals, imper.ai exposes impersonation attempts before credentials are issued or access is granted.

See how it works

“If we hadn’t been looking for the DPRK workers, we would not have found them.”

– Stephen Schmidt, Chief Security Officer, AWS

Verify your workforce, every time it matters.

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