Attack realism
Test latency, response adaptability, accent, code-switching, objections, refusals, callback behavior and safe termination—not only audio quality.
Independent evaluation criteria
How to evaluate a deepfake simulation platform without buying a demo illusion
A practical due-diligence framework for security leaders comparing AI vishing, voice cloning, messaging, live collaboration exercises, governance, measurement and enterprise integration.
Start with evidence
Compare what can be demonstrated, not what a category label implies
“Deepfake simulation” can describe very different products: prerecorded awareness content, synthetic voice notes, automated telephone bots, human-operated voice conversion, live meeting impersonation, detection testing or a managed security assessment. A fair comparison begins by defining the required attack path and asking each vendor to demonstrate it end to end.
Separate current generally available capabilities from beta features, managed services and roadmap statements. Ask whether a claimed channel is delivered by the platform itself, a service team, a third-party provider or a manual process. Confirm which controls appear in the product rather than only in policy documents.
Finally, distinguish simulation from detection. A platform that tests people and procedures does not automatically detect synthetic media, and a media-forensics product does not automatically run behavioral exercises.
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Eight dimensions that determine enterprise value
Channel coverage
Verify telephone, WhatsApp, email, Teams, Zoom, Meet, text and video separately. “Multi-channel” is not a specification.
Authorization
Inspect customer approval, voice-owner consent, participant scope, operator roles, audit history and withdrawal handling.
Safety
Confirm whether real credentials, funds or sensitive information can be collected and what technical controls prevent unsafe scenarios.
Measurement
Look beyond pass/fail to verification, refusal, reporting, escalation, response time, conversation path and channel-specific evidence.
Learning
Assess debrief quality, role-specific coaching, adaptive training, repeat measurement and whether results support improvement rather than blame.
Reporting
Request participant evidence, campaign summaries, executive reports, audit packages, trend data and a sample export before buying.
Integration
Verify SSO, role model, directory sync, API scope, SIEM push or pull, webhooks, data residency, retention and deletion workflows.
Operating model
Decide whether you need self-service software, a managed assessment, red-team operators, local delivery support or a hybrid model.
Proof-of-concept design
Give every vendor the same controlled scenario
| Test | What to observe | Evidence to request |
|---|---|---|
| Executive impersonation | Voice realism, latency and handling of verification questions | Transcript, timestamps and approved voice record |
| Participant challenges identity | Adaptability, refusal handling and safe termination | Conversation turns and outcome classification |
| Cross-channel pretext | Continuity between message, email and live voice | Unified campaign or correlated event timeline |
| Scenario is edited | Whether approval and test evidence are invalidated | Audit record before and after the change |
| Unsafe request is entered | Whether the platform blocks real funds or credentials | Policy result and operator-facing explanation |
| Campaign completes | Debrief, reporting, retention and integration | Executive report, raw export and SIEM event |
Questions procurement should ask
Turn a persuasive demo into verifiable commitments
Ask the vendor to identify every external provider involved in voice generation, telephony, messaging, email, transcription and model inference. Clarify where each data type is processed, which subcontractor terms apply, how credentials are stored and which logs are available to the customer.
Request the current limitation list, not only the roadmap. Confirm whether “RBAC” means named users with independent roles or a tenant-level role. Confirm whether “API” covers campaign creation, results, user management or only event export. Ask how false positives from email scanners are handled.
For regulated environments, ask qualified legal and compliance teams to assess lawful basis, consent, employment implications, cross-border processing, retention and the proposed use of individual results.
Deceptiment’s position
Use this guide to evaluate us the same way
Deceptiment publishes a dated analyst fact sheet and public workflow pages so buyers can challenge the product in a live demonstration grounded in real scenarios, governance controls and evidence outputs.
Bring your own scenario and evaluation criteria
We will show the documented workflow, evidence and limitations rather than substitute a slide deck for proof.
Request an evidence-led demonstration →