Stop help desk vishing before credentials change.
Put an impersonation decision in front of password resets, MFA re-enrollment, account unlocks, and other sensitive recovery actions. imper.ai evaluates the requester and operating environment, builds impersonation detections, and applies policy before the help desk acts.
How imper.ai works
Turn a recovery request into a security decision.
imper.ai does not ask the agent to decide whether a caller sounds suspicious. It evaluates the operating environment, turns signals into impersonation detections, correlates relevant history, and maps the resulting risk to policy.
Request
A password reset, MFA recovery, account unlock, or other protected support action enters the workflow.
Detect
Device, network, location, environment, remote-control, tooling, identity, and behavior signals are evaluated together.
Correlate risk
Signals become impersonation-specific detections and are correlated with relevant history into an impersonation risk score.
Enforce policy
Proceed, review, step up, or stop. Approved workflows can continue to the recovery action automatically.
A VPN, new device, unusual location, or VoIP number can have a legitimate explanation. The decision comes from detections, combinations, and context.
The same claimed employee appearing from different infrastructure, or the same environment appearing behind multiple identities, can change the risk even when each event looks plausible alone.
Risk-based assurance
Do not challenge every employee the same way.
Environment detection is the baseline. The policy can add more assurance only when the request, role, or risk requires it.
For an established employee, imper.ai can use recent enterprise work context as a lower-friction step-up. A customer can also route to manager approval or formal IDV when policy requires a higher-assurance proofing event.
Use dynamic work-context questions grounded in recent enterprise activity when policy calls for an additional assurance step.
Built into recovery
Make the decision inside the systems your help desk already uses.
The security control should travel with the workflow, not force agents into another console or a new manual checklist.
With ServiceNow, imper.ai can bring the impersonation decision into the help desk task and continue configured recovery actions according to policy. The same control can support live-agent, IVR, and self-service entry points.
Start from the help desk workflow and return a decision the agent can act on.
Route callers through the same risk decision before a sensitive recovery action.
Allow approved users to complete recovery without agent handling when policy permits.
Interactive walkthrough
See the help desk flow in action.
Walk through the recovery experience and see how verification and risk can sit in front of a sensitive reset.
Why now
The recovery path is under pressure.
Three developments explain why help desk recovery needs its own impersonation control. Each links to deeper imper.ai research instead of turning this solution page into another threat article.
Voice phishing in cloud compromise
Voice phishing was the number one initial infection vector for cloud-related compromises in Mandiant’s 2025 investigations.
Read imper.ai analysis →Help desk reset attacks
The attack pattern is direct: impersonate an employee, call the help desk, and persuade support to reset credentials or MFA.
See the Scattered Spider attack pattern →Identity facts are weak secrets
The driver’s-license dataset story is another reminder that names, dates of birth, addresses, and ID numbers should not be treated as strong recovery proof.
Read the developing story →Gartner Hype Cycle for Digital Identity, 2026
A new workforce identity control has entered Gartner’s Digital Identity Hype Cycle.
Workforce Identity Impersonation Detection
Gartner tracks Workforce Identity Impersonation Detection as an emerging technology focused on attacks that arise when threat actors impersonate employees, especially in social-engineering scenarios.
Production evidence
Different attacks can produce different operating patterns.
In one month at a live retail help desk, imper.ai surfaced three patterns that show why the decision cannot depend on the caller’s voice or one static identifier.
Employee details and a believable IT pretext were paired with VPN and latency inconsistencies plus a channel mismatch. The agent reported nothing suspicious about the caller’s voice or delivery.
The same claimed employee appeared from materially different device, location, ISP, and phone infrastructure across sessions.
The same environment and phone number appeared behind two different employee identities within hours.
Source: Case Files from the Help Desk: A Month of Vishing, Q2 2026 →
“imper.ai gives us a new layer of safety every single day. Our help desk and hiring teams now have real-time protection that keeps interactions secure, something no other technology can deliver. The imper.ai team has also been exceptional.” Sean Mullins, CISO at CASS
Go deeper
More on help desk vishing and recovery security.
Use this page for the solution workflow. These imper.ai resources carry the deeper threat and research context.
M-Trends 2026, Scattered Spider, and why interactive voice attacks are bypassing normal controls.
Read →How employee impersonation, social engineering, and recovery workflows combine in modern attacks.
Read →First-party evidence from three real-world impersonation patterns observed in a live deployment.
Read →Signals, detections, correlation, risk scoring, policy, and workflow action.
Explore →Help desk vishing FAQ
What is help desk vishing?
Help desk vishing is voice-based social engineering in which an attacker impersonates an employee and tries to convince support staff to reset a password, re-enroll MFA, unlock an account, change a phone number, or perform another sensitive action.
How does imper.ai secure password and MFA resets?
imper.ai evaluates the requester and operating environment before the action proceeds. Signals become impersonation detections and an impersonation risk score, then customer policy determines whether to proceed, review, step up, or stop.
Does imper.ai require government ID or biometrics?
No document or biometric step is required for core impersonation detection. Formal identity verification can still be used when policy requires a higher-assurance proofing event.
How does imper.ai work with ServiceNow, IVR, and self-service?
imper.ai brings the impersonation decision into the recovery workflow so the result can gate the sensitive action. Requests can begin with a live agent, IVR, or self-service portal.
Put an impersonation decision in front of every sensitive recovery action.
Protect password resets, MFA recovery, account unlocks, and other high-risk help desk workflows without turning every request into a document check.