Define the decision
Identify the payment, access, disclosure or process change an attacker would try to influence and the safe response expected.
AI voice readiness
AI vishing simulation that tests decisions, not ears
Exercise how employees respond when an apparently trusted voice creates urgency, authority or secrecy—within an authorized program that records consent, approval and response evidence.
What it evaluates
A convincing voice should never become proof of identity
AI voice impersonation changes the realism of social engineering, but the defensive objective remains operational: independently verify the person and the request before taking a high-consequence action. Deceptiment evaluates whether that behavior holds when a participant hears a familiar voice, receives a believable pretext and must decide quickly.
Assessment scenarios can exercise executive impersonation, supplier-detail changes, sensitive data requests, help-desk manipulation and other approved business situations. The platform records interaction evidence so the organization can distinguish recognition, verification, refusal, reporting and escalation—not merely whether someone “failed.”
Deceptiment is a readiness and simulation platform, not a deepfake detector. It does not certify that a participant can identify synthetic audio by sound alone. The safer outcome is a repeatable verification process that works even when the audio is indistinguishable.
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Build the exercise around the control being tested
Authorize the voice
Bind an approved voice profile to documented voice-owner consent and the specific assessment scope.
Approve the artifact
Review the scenario and generated audio. Material changes invalidate stale safety and approval evidence.
Deliver safely
Use a governed WhatsApp voice-note or Microsoft Teams voice workflow without requesting real credentials or funds.
Measure behavior
Capture verification, refusal, reporting, escalation and conversation outcomes defined by the exercise.
Coach and improve
Translate evidence into role-specific coaching, process changes, playbook actions and repeat assessment.
Delivery model
Governed voice scenarios with measurable enterprise outcomes
Deceptiment’s public workflow pages focus on WhatsApp voice notes and text, enterprise email simulations, and conversational Microsoft Teams voice assessments. Each scenario is structured around authorization, voice-owner consent, safety controls, behavioral measurement and reporting.
The platform’s strength is not isolated media generation. It is the governed assessment lifecycle around the moment of decision: how the scenario is approved, how delivery is controlled, how behavior is measured and how evidence flows into coaching, executive reporting and security operations.
Frequently asked questions
AI vishing simulation, plainly answered
Is AI vishing only a phone call?
No. Voice impersonation can arrive through collaboration calls and messaging-app voice notes as well as the telephone network. Buyers should verify which delivery paths a platform actually supports.
Does the exercise ask for real credentials?
No. Deceptiment’s responsible-use controls prohibit collection of real passwords, codes, payment information and other genuine secrets.
Can a human operator conduct the conversation?
The Microsoft Teams workflow documents an operator-assisted mode alongside bot-assisted delivery, with transcript and suggestion support.
What happens after the exercise?
Evidence supports debriefing, coaching, executive reporting, control improvement and SIEM integration according to the engagement configuration.
Test the verification process before an attacker does
Define a safe AI voice scenario around the roles and decisions that matter to your organization.
Book a governed demonstration →