Microsoft Teams voice
Run live bot-assisted or operator-assisted conversations using an approved voice profile, with transcripts and measured response signals.
Governed AI-threat rehearsal
Deepfake attack simulation for the channels attackers exploit
Test how people recognize, verify, escalate and respond to AI-enabled voice and messaging impersonation—inside a controlled, consent-based program.
Why simulation matters
Deepfake risk is a decision problem, not only a media problem
AI-cloned voices and synthetic video can make fraudulent requests feel immediate and credible. Attackers may impersonate executives, suppliers, colleagues or customers to pressure someone into releasing funds, sharing information, resetting access or bypassing a control.
Conventional awareness explains the risk, but it cannot show whether people will pause, verify through an independent channel and escalate under pressure. Deceptiment turns those moments into governed exercises that reveal how human judgment and operational controls perform together.
The objective is not to trick people for a score. It is to build repeatable verification habits, strengthen response paths and give security leaders evidence they can act on.
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Rehearse deception where trust already exists
Scenarios are selected to match the organization’s real communication patterns, exposed roles and approved risk objectives.
WhatsApp voice notes
Evaluate how participants respond when a familiar-sounding voice arrives through an informal trusted channel.
WhatsApp text
Test controlled text pretexts and follow-up interactions without collecting credentials or sensitive information.
Enterprise email
Measure delivered, opened, clicked, continued, reported, replied and safe-document events while filtering known scanners.
Governed voice conversion
Use text-to-speech or an authorized guide performance while binding approvals to the exact generated audio artifact.
Role-specific campaigns
Adapt scenarios for executives, finance, HR, help desk, procurement and other high-consequence roles.
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A complete simulation lifecycle—not an isolated fake call
Define scope
Agree objectives, participants, channels, safeguards, authorization and success criteria.
Design the scenario
Build a credible pretext around approved roles, business processes and behavioral signals.
Approve & launch
Use governance gates and controlled delivery to keep the exercise within authorized boundaries.
Observe decisions
Capture recognition, verification, reporting and escalation events without unnecessary collection.
Coach in context
Turn the experience into practical guidance that reinforces safe behavior and verification habits.
Improve controls
Use evidence and trends to strengthen workflows, training priorities and response playbooks.
Frequently asked questions
Deepfake simulation, clearly explained
What is a deepfake attack simulation?
An authorized exercise using realistic AI-enabled impersonation to evaluate recognition, verification, escalation and response.
Does Deceptiment detect deepfakes?
No. It is a readiness and simulation platform, not a media-forensics tool.
Which channels are documented?
WhatsApp voice and text, enterprise email and conversational Microsoft Teams voice exercises.
How is responsible use enforced?
Through explicit authorization, voice-owner consent where required, defined boundaries, approval gates and controlled evidence.
See a governed deepfake simulation in action
Discuss your priority roles, communication channels and threat scenarios with the Deceptiment team.
Book a live demonstration →